{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import seaborn as sns\n",
    "sns.set(color_codes=True)\n",
    "\n",
    "np.random.seed(sum(map(ord, \"regression\")))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 回归建模 ###"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#内置数据集："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   total_bill   tip     sex smoker  day    time  size\n",
       "0       16.99  1.01  Female     No  Sun  Dinner     2\n",
       "1       10.34  1.66    Male     No  Sun  Dinner     3\n",
       "2       21.01  3.50    Male     No  Sun  Dinner     3\n",
       "3       23.68  3.31    Male     No  Sun  Dinner     2\n",
       "4       24.59  3.61  Female     No  Sun  Dinner     4"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips = sns.load_dataset(\"tips\")\n",
    "tips.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### regplot()和lmplot()都可以绘制回归关系,推荐regplot()\n",
    " * regplot 使用参数很少\n",
    " * lmplot 使用参数很多，很复杂【但是很多规范】"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xc8faef0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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hDARncfz0PNQlp7gWkce527QCJDu3dEAUeHR2ujA3V7j6L4V+AKvnshHAQ06p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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc975d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.regplot(x='total_bill',y=\"tip\",data=tips)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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2panwJSsq9nb24z9+cQiHT02KbfM8Jz61aSU+c9vFsxZbngOq7CLm1dhR57bl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\nQRAmQYJLEARhEiS4BEEQJvH/A8lJ2nho+SeKAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x6b9da90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x=\"total_bill\", y=\"tip\", data=tips);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xcca48d0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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3U0JnW1DrRNkewtom34JlGIcowOmU4CpSMlmr1UqrMb+30mLHraCUcxNoBkOf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\nIrIRhj4RkY0w9ImIbOT/A+qwrGXnWkhZAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xcc69710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.regplot(data=tips,x=\"size\",y=\"tip\")# 从这里我们可以看出来这不属于回退问题；"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xce5a7b8>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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oCiBIMj64yW+Kny2pDgr6Bvfz14bx81eGIUpy3ny0ArUm/M3jU1i/1mP44KCl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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xcd119e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#x_jitter=0.05所有点都原来y基础上进行抖动【抖动幅度】\n",
    "sns.regplot(x=\"size\", y=\"tip\", data=tips, x_jitter=.05)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 带有条件数据集操作"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dataset</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>I</td>\n",
       "      <td>10.0</td>\n",
       "      <td>8.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>I</td>\n",
       "      <td>8.0</td>\n",
       "      <td>6.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>I</td>\n",
       "      <td>13.0</td>\n",
       "      <td>7.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>I</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I</td>\n",
       "      <td>11.0</td>\n",
       "      <td>8.33</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  dataset     x     y\n",
       "0       I  10.0  8.04\n",
       "1       I   8.0  6.95\n",
       "2       I  13.0  7.58\n",
       "3       I   9.0  8.81\n",
       "4       I  11.0  8.33"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anscombe = sns.load_dataset(\"anscombe\")\n",
    "anscombe.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xccd8dd8>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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X1I3QibHh2FhmRNnKFKhVDHsiChyGvh+olEroddobBr9ep0Xf4Dg+OmyB6VQn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\nKsR82f0BFgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xcfc1a20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.regplot(x=\"x\", y=\"y\", data=anscombe.query(\"dataset == 'I'\"),\n",
    "           ci=False, scatter_kws={\"s\": 50}) #ci:代表置信区间"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#help(sns.regplot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f79f98>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ve2KBiKQnauAeP34cp0+fxmeffYbW1lZs2rRJzO6dXmpiKArKdCipaERTqwG6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\nA5eISCQMXCIikTBwiYhEwsAlIhLJ/wftXaJLXOjPWQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f79be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x=\"x\", y=\"y\", data=anscombe.query(\"dataset == 'II'\"),\n",
    "           ci=None, scatter_kws={\"s\": 80})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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M5xJeomjRZeAWFhaiqqoKW7Zswf3334/+/fvjjjvuwJw5c6DRcIJ+T+09Voua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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x80656a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x=\"x\", y=\"y\", data=anscombe.query(\"dataset == 'II'\"),\n",
    "           order=2, ci=None, scatter_kws={\"s\": 80}); #order=1 多项式回归"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on function lmplot in module seaborn.regression:\n",
      "\n",
      "lmplot(x, y, data, hue=None, col=None, row=None, palette=None, col_wrap=None, size=5, aspect=1, markers='o', sharex=True, sharey=True, hue_order=None, col_order=None, row_order=None, legend=True, legend_out=True, x_estimator=None, x_bins=None, x_ci='ci', scatter=True, fit_reg=True, ci=95, n_boot=1000, units=None, order=1, logistic=False, lowess=False, robust=False, logx=False, x_partial=None, y_partial=None, truncate=False, x_jitter=None, y_jitter=None, scatter_kws=None, line_kws=None)\n",
      "    Plot data and regression model fits across a FacetGrid.\n",
      "    \n",
      "    This function combines :func:`regplot` and :class:`FacetGrid`. It is\n",
      "    intended as a convenient interface to fit regression models across\n",
      "    conditional subsets of a dataset.\n",
      "    \n",
      "    When thinking about how to assign variables to different facets, a general\n",
      "    rule is that it makes sense to use ``hue`` for the most important\n",
      "    comparison, followed by ``col`` and ``row``. However, always think about\n",
      "    your particular dataset and the goals of the visualization you are\n",
      "    creating.\n",
      "    \n",
      "    There are a number of mutually exclusive options for estimating the\n",
      "    regression model: ``order``, ``logistic``, ``lowess``, ``robust``, and\n",
      "    ``logx``. See the parameter docs for more information on these options.    \n",
      "    \n",
      "    The parameters to this function span most of the options in\n",
      "    :class:`FacetGrid`, although there may be occasional cases where you will\n",
      "    want to use that class and :func:`regplot` directly.\n",
      "    \n",
      "    Parameters\n",
      "    ----------\n",
      "    x, y : strings, optional\n",
      "        Input variables; these should be column names in ``data``.\n",
      "    data : DataFrame\n",
      "        Tidy (\"long-form\") dataframe where each column is a variable and each\n",
      "        row is an observation.    \n",
      "    hue, col, row : strings\n",
      "        Variables that define subsets of the data, which will be drawn on\n",
      "        separate facets in the grid. See the ``*_order`` parameters to control\n",
      "        the order of levels of this variable.\n",
      "    palette : seaborn color palette or dict, optional\n",
      "        Colors to use for the different levels of the ``hue`` variable. Should\n",
      "        be something that can be interpreted by :func:`color_palette`, or a\n",
      "        dictionary mapping hue levels to matplotlib colors.    \n",
      "    col_wrap : int, optional\n",
      "        \"Wrap\" the column variable at this width, so that the column facets\n",
      "        span multiple rows. Incompatible with a ``row`` facet.    \n",
      "    size : scalar, optional\n",
      "        Height (in inches) of each facet. See also: ``aspect``.    \n",
      "    aspect : scalar, optional\n",
      "        Aspect ratio of each facet, so that ``aspect * size`` gives the width\n",
      "        of each facet in inches.    \n",
      "    markers : matplotlib marker code or list of marker codes, optional\n",
      "        Markers for the scatterplot. If a list, each marker in the list will be\n",
      "        used for each level of the ``hue`` variable.\n",
      "    share{x,y} : bool, optional\n",
      "        If true, the facets will share y axes across columns and/or x axes\n",
      "        across rows.    \n",
      "    {hue,col,row}_order : lists, optional\n",
      "        Order for the levels of the faceting variables. By default, this will\n",
      "        be the order that the levels appear in ``data`` or, if the variables\n",
      "        are pandas categoricals, the category order.\n",
      "    legend : bool, optional\n",
      "        If ``True`` and there is a ``hue`` variable, add a legend.\n",
      "    legend_out : bool, optional\n",
      "        If ``True``, the figure size will be extended, and the legend will be\n",
      "        drawn outside the plot on the center right.    \n",
      "    x_estimator : callable that maps vector -> scalar, optional\n",
      "        Apply this function to each unique value of ``x`` and plot the\n",
      "        resulting estimate. This is useful when ``x`` is a discrete variable.\n",
      "        If ``x_ci`` is given, this estimate will be bootstrapped and a\n",
      "        confidence interval will be drawn.    \n",
      "    x_bins : int or vector, optional\n",
      "        Bin the ``x`` variable into discrete bins and then estimate the central\n",
      "        tendency and a confidence interval. This binning only influences how\n",
      "        the scatterplot is drawn; the regression is still fit to the original\n",
      "        data.  This parameter is interpreted either as the number of\n",
      "        evenly-sized (not necessary spaced) bins or the positions of the bin\n",
      "        centers. When this parameter is used, it implies that the default of\n",
      "        ``x_estimator`` is ``numpy.mean``.    \n",
      "    x_ci : \"ci\", \"sd\", int in [0, 100] or None, optional\n",
      "        Size of the confidence interval used when plotting a central tendency\n",
      "        for discrete values of ``x``. If ``\"ci\"``, defer to the value of the\n",
      "        ``ci`` parameter. If ``\"sd\"``, skip bootstrappig and show the standard\n",
      "        deviation of the observations in each bin.    \n",
      "    scatter : bool, optional\n",
      "        If ``True``, draw a scatterplot with the underlying observations (or\n",
      "        the ``x_estimator`` values).    \n",
      "    fit_reg : bool, optional\n",
      "        If ``True``, estimate and plot a regression model relating the ``x``\n",
      "        and ``y`` variables.    \n",
      "    ci : int in [0, 100] or None, optional\n",
      "        Size of the confidence interval for the regression estimate. This will\n",
      "        be drawn using translucent bands around the regression line. The\n",
      "        confidence interval is estimated using a bootstrap; for large\n",
      "        datasets, it may be advisable to avoid that computation by setting\n",
      "        this parameter to None.    \n",
      "    n_boot : int, optional\n",
      "        Number of bootstrap resamples used to estimate the ``ci``. The default\n",
      "        value attempts to balance time and stability; you may want to increase\n",
      "        this value for \"final\" versions of plots.    \n",
      "    units : variable name in ``data``, optional\n",
      "        If the ``x`` and ``y`` observations are nested within sampling units,\n",
      "        those can be specified here. This will be taken into account when\n",
      "        computing the confidence intervals by performing a multilevel bootstrap\n",
      "        that resamples both units and observations (within unit). This does not\n",
      "        otherwise influence how the regression is estimated or drawn.    \n",
      "    order : int, optional\n",
      "        If ``order`` is greater than 1, use ``numpy.polyfit`` to estimate a\n",
      "        polynomial regression.    \n",
      "    logistic : bool, optional\n",
      "        If ``True``, assume that ``y`` is a binary variable and use\n",
      "        ``statsmodels`` to estimate a logistic regression model. Note that this\n",
      "        is substantially more computationally intensive than linear regression,\n",
      "        so you may wish to decrease the number of bootstrap resamples\n",
      "        (``n_boot``) or set ``ci`` to None.    \n",
      "    lowess : bool, optional\n",
      "        If ``True``, use ``statsmodels`` to estimate a nonparametric lowess\n",
      "        model (locally weighted linear regression). Note that confidence\n",
      "        intervals cannot currently be drawn for this kind of model.    \n",
      "    robust : bool, optional\n",
      "        If ``True``, use ``statsmodels`` to estimate a robust regression. This\n",
      "        will de-weight outliers. Note that this is substantially more\n",
      "        computationally intensive than standard linear regression, so you may\n",
      "        wish to decrease the number of bootstrap resamples (``n_boot``) or set\n",
      "        ``ci`` to None.    \n",
      "    logx : bool, optional\n",
      "        If ``True``, estimate a linear regression of the form y ~ log(x), but\n",
      "        plot the scatterplot and regression model in the input space. Note that\n",
      "        ``x`` must be positive for this to work.    \n",
      "    {x,y}_partial : strings in ``data`` or matrices\n",
      "        Confounding variables to regress out of the ``x`` or ``y`` variables\n",
      "        before plotting.    \n",
      "    truncate : bool, optional\n",
      "        By default, the regression line is drawn to fill the x axis limits\n",
      "        after the scatterplot is drawn. If ``truncate`` is ``True``, it will\n",
      "        instead by bounded by the data limits.    \n",
      "    {x,y}_jitter : floats, optional\n",
      "        Add uniform random noise of this size to either the ``x`` or ``y``\n",
      "        variables. The noise is added to a copy of the data after fitting the\n",
      "        regression, and only influences the look of the scatterplot. This can\n",
      "        be helpful when plotting variables that take discrete values.    \n",
      "    {scatter,line}_kws : dictionaries\n",
      "        Additional keyword arguments to pass to ``plt.scatter`` and\n",
      "        ``plt.plot``.    \n",
      "    \n",
      "    See Also\n",
      "    --------\n",
      "    regplot : Plot data and a conditional model fit.\n",
      "    FacetGrid : Subplot grid for plotting conditional relationships.\n",
      "    pairplot : Combine :func:`regplot` and :class:`PairGrid` (when used with\n",
      "               ``kind=\"reg\"``).\n",
      "    \n",
      "    Notes\n",
      "    -----\n",
      "    \n",
      "    Understanding the difference between :func:`regplot` and :func:`lmplot` can\n",
      "    be a bit tricky. In fact, they are closely related, as :func:`lmplot` uses\n",
      "    :func:`regplot` internally and takes most of its parameters. However,\n",
      "    :func:`regplot` is an axes-level function, so it draws directly onto an\n",
      "    axes (either the currently active axes or the one provided by the ``ax``\n",
      "    parameter), while :func:`lmplot` is a figure-level function and creates its\n",
      "    own figure, which is managed through a :class:`FacetGrid`. This has a few\n",
      "    consequences, namely that :func:`regplot` can happily coexist in a figure\n",
      "    with other kinds of plots and will follow the global matplotlib color\n",
      "    cycle. In contrast, :func:`lmplot` needs to occupy an entire figure, and\n",
      "    the size and color cycle are controlled through function parameters,\n",
      "    ignoring the global defaults.    \n",
      "    \n",
      "    Examples\n",
      "    --------\n",
      "    \n",
      "    These examples focus on basic regression model plots to exhibit the\n",
      "    various faceting options; see the :func:`regplot` docs for demonstrations\n",
      "    of the other options for plotting the data and models. There are also\n",
      "    other examples for how to manipulate plot using the returned object on\n",
      "    the :class:`FacetGrid` docs.\n",
      "    \n",
      "    Plot a simple linear relationship between two variables:\n",
      "    \n",
      "    .. plot::\n",
      "        :context: close-figs\n",
      "    \n",
      "        >>> import seaborn as sns; sns.set(color_codes=True)\n",
      "        >>> tips = sns.load_dataset(\"tips\")\n",
      "        >>> g = sns.lmplot(x=\"total_bill\", y=\"tip\", data=tips)\n",
      "    \n",
      "    Condition on a third variable and plot the levels in different colors:\n",
      "    \n",
      "    .. plot::\n",
      "        :context: close-figs\n",
      "    \n",
      "        >>> g = sns.lmplot(x=\"total_bill\", y=\"tip\", hue=\"smoker\", data=tips)\n",
      "    \n",
      "    Use different markers as well as colors so the plot will reproduce to\n",
      "    black-and-white more easily:\n",
      "    \n",
      "    .. plot::\n",
      "        :context: close-figs\n",
      "    \n",
      "        >>> g = sns.lmplot(x=\"total_bill\", y=\"tip\", hue=\"smoker\", data=tips,\n",
      "        ...                markers=[\"o\", \"x\"])\n",
      "    \n",
      "    Use a different color palette:\n",
      "    \n",
      "    .. plot::\n",
      "        :context: close-figs\n",
      "    \n",
      "        >>> g = sns.lmplot(x=\"total_bill\", y=\"tip\", hue=\"smoker\", data=tips,\n",
      "        ...                palette=\"Set1\")\n",
      "    \n",
      "    Map ``hue`` levels to colors with a dictionary:\n",
      "    \n",
      "    .. plot::\n",
      "        :context: close-figs\n",
      "    \n",
      "        >>> g = sns.lmplot(x=\"total_bill\", y=\"tip\", hue=\"smoker\", data=tips,\n",
      "        ...                palette=dict(Yes=\"g\", No=\"m\"))\n",
      "    \n",
      "    Plot the levels of the third variable across different columns:\n",
      "    \n",
      "    .. plot::\n",
      "        :context: close-figs\n",
      "    \n",
      "        >>> g = sns.lmplot(x=\"total_bill\", y=\"tip\", col=\"smoker\", data=tips)\n",
      "    \n",
      "    Change the size and aspect ratio of the facets:\n",
      "    \n",
      "    .. plot::\n",
      "        :context: close-figs\n",
      "    \n",
      "        >>> g = sns.lmplot(x=\"size\", y=\"total_bill\", hue=\"day\", col=\"day\",\n",
      "        ...                data=tips, aspect=.4, x_jitter=.1)\n",
      "    \n",
      "    Wrap the levels of the column variable into multiple rows:\n",
      "    \n",
      "    .. plot::\n",
      "        :context: close-figs\n",
      "    \n",
      "        >>> g = sns.lmplot(x=\"total_bill\", y=\"tip\", col=\"day\", hue=\"day\",\n",
      "        ...                data=tips, col_wrap=2, size=3)\n",
      "    \n",
      "    Condition on two variables to make a full grid:\n",
      "    \n",
      "    .. plot::\n",
      "        :context: close-figs\n",
      "    \n",
      "        >>> g = sns.lmplot(x=\"total_bill\", y=\"tip\", row=\"sex\", col=\"time\",\n",
      "        ...                data=tips, size=3)\n",
      "    \n",
      "    Use methods on the returned :class:`FacetGrid` instance to further tweak\n",
      "    the plot:\n",
      "    \n",
      "    .. plot::\n",
      "        :context: close-figs\n",
      "    \n",
      "        >>> g = sns.lmplot(x=\"total_bill\", y=\"tip\", row=\"sex\", col=\"time\",\n",
      "        ...                data=tips, size=3)\n",
      "        >>> g = (g.set_axis_labels(\"Total bill (US Dollars)\", \"Tip\")\n",
      "        ...       .set(xlim=(0, 60), ylim=(0, 12),\n",
      "        ...            xticks=[10, 30, 50], yticks=[2, 6, 10])\n",
      "        ...       .fig.subplots_adjust(wspace=.02))\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(sns.lmplot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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JAMDHP/5xfOxjHzOu9fOf/xxdXV34u7/7Ozz11FN4/PHHAQCf//znsXPnTnzm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\nTJoEEyGEEJP2/wGfdx7F0/JE0wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x81e6dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x=\"total_bill\", y=\"tip\", hue=\"smoker\", data=tips);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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0DQE5CDmJY3RHoAsvte/A1UhvvK3c6cY9s7eisWzuhI41111vyELe0QJ+k8kE\nh8UJl8UJMwP+m2LgT5SlmioaR13IG5VUBMJTK9ep6sq1Up2ZsdFJQA5gb+8etIcuxtucFifWVa3H\nwtKmrN3yvWdAQkubD20XQ9B0gY/+zfJ0d4kobu+J7jHbkxWEp+Oc2SjZZToDUhCvXtqFUwOt8Tab\n2YbN09dhTd2KtKTPjB7wm+G0OOG0OJneOU4M/IlySCiqIBSd2uxPTI0irEUyolSnqqto8RzF0YE3\noV3LXTXBhNvczVhdtQZOizPNPZw4XRc41xnG0VYfLvcmt9Qe0VT0+UZP8evzJe/vNh3nzCa60OGL\n+uGXA0k5vqqrOND9BvZePpjwtHdx5SLcNWsLiu1FSTnvzYy2aNdsMsNpccFpccDEgH9CGPgT5QAh\nBAJhGVF58gu7BnfhDUPOgFKdQgi0h9qxr3cPAsrwDa7WVYfNNZtR6axKY+8mJyppOHk2gGNtfgQj\niZWR6ioKsPn2aWnqGdHoqtwu9HhvDMSr3Mn7wp2Oc2YLRVPgl4ModRn/WQghcMZ7Hi937IRXGk6l\nrCuswbb6rZhVPMPwc96KrGjw+GMIhId3HLaYLHBaXXCYHVn7pDfdGPgTZTldCPiCEmR18o98VV1F\nSAnGZ9XTyS/7sKdnDy6FO+JtLosL66o3YEHJgqwb7Pu9Eo62+dF6IQhVG36KYjIBi+rLsb65FvW1\nxXDaORxTZtm4pC4h335key6dM9MN7p8SQUSJJGUBb390AC+178R5f3u8rcDqwtZZm7G0qjnlKTQj\nZ/hLbYPjosVshcvigsMyduUgGh/eaYiymKbr8AYkqFOo3JMpu/AquoKjA2+ixXM0vrbABBMWly3B\nqsrVWTXg67rAhcsRtLT6cOlq4uyly2HBqoXVWHtbLdxF2XNNlH+GcuoHK+zEUOV2Jr3CTjrOmclU\nXUVADkJJwv4pMVXC7sv7cfhq4pi7qnYZtszYAJc1tU9ZZEVDJKZCHVF+2ma2odhWkvebbhmJgT9R\nllJUDd6QDH2SQX+mpPYIIXAxdAH7evYiqA7vAFnnmoZNNZtR6axMY+8mRpI1nDoXREubD/5Q4o26\nusyF9c21WDq/EnYrq05QdmhuqEh50J2Oc2aiiBJFSAkZPssvhMCxvlPY2bkbYSUSb68vmYV76+9E\ndUFqx9zRcviHNt0qc7rhiYRT2p9cx8CfKAvFZBX+0OQr92RKao9P9mJPzx50hi/F2wosBVhfvQHz\nSxqzJq3H45fR0ubHW+cDUNQR6TwAFswqw/rFtZg7rSRrroeI0ieZZTq7glfwYvsOXAlfjbeV2ktw\nz+x3YGF5asfc0QJ+brqVfPweXpFwAAAgAElEQVRkibLMVCv3ZEJqj6IreKP/CI57jsXL0ZlgwpKy\n27GqcnVWPNYVQqD9SgQtbX5cvBxJ+DeHzYIVC6qw7rZaVJRyUSIRjU9UjSEoh+I74xolKIew89Ju\nHO9/K95mNVuxcdoarJu2CjazzdDz3cwNZTmHNt2yOGFhwJ90/ISJssRUK/cMLhALQUpjao8QAueD\n57Gvdy/CaijePr1gOjbVbEa5I/Mf70uyhpY2H1ra/PAGEr+AVZQ6sf62WixvrILDznQeIhofXegI\nyEFImnzrN0+Apms4dPVN7L58APKIYy8qX4C7Z78DpY4SQ893M9cH/Nx0Kz0Y+BNlAU3X4QvKULTJ\nVe7RdBVBNQQtCQvExssjebC3Zw+6Ip3xtkJrIdZXb8C84vkZnwbjDypoOe3HW+cCiMmJv4f5M0qx\nvrkW82e6Yc7w6yCizJKszbjO+S7ipfYdGIh5423VBZW4d/adqC+dZei5bubGgJ+bbqVTygP/n/zk\nJ9i5cycURcH999+P97///anuAlFWmeoiXlmTEFJDEGlK7ZE1GW8MHMEJz/H4jc0MM24vX4qVlSth\nM2duWo8QAp1Xozja5sf5zsQFZnarGcsaq7CuuRbVbleaenhzHG+JRtc6cAYHuo+gP+pBpasc6+pW\njboTejLpQkdQDiOmGbs5mSfmxUvtr+Gs73y8zWlx4o6ZG7CiZmnKgm1V1RCODQf8ZpM5XpKTm26l\nT0oD/0OHDqGlpQW//vWvEY1G8bOf/SyVpyfKOlFJRSA8uUW8QghEtAhi6ug7YSabEALngmexv3ff\n4JqCa2YUzMDGms0od5SnpV/joag6Wi8E0dLmR78v8dF7RakTq5uqsXJBNVyOzH1oyvGWaHStA2fw\npwsvxF/3Rfvjr1MV/MuajIAcMrTAgqzJ2HP5IA52v5Fw3BXVt+OOmRtRYCsw7Fw3o6oaIpIGWRns\nw2ANfifs3HQrI6T0rrV37140NjbikUceQSgUwr/8y7+k8vREWSUQkRGJTS41RxcagkoQappSezzS\nAPb07MblyOV4W5G1CBuqN2JO8dyMHfwDYQXH2vw4efbGdJ6GumJsWFyH9UtnwOeLjHGEzMHxlnKJ\nkTP0B7qPjNme7MBfCIGQEkbEwAkZIQRODbTi1Y5dCCrDa6dmFk/HvfV3oq6wxrBz3YysaIjJwwG/\nzWyD0+LKimIN+SSlgb/X68WVK1fw4x//GF1dXfjkJz+JF1988aZBQFVVcQp7mF681tw00WvVdQFv\nMAYnTHAWTHyDJ0mTEZSiKHTZAaRuwC11F0BSJey9vA9Hut+MV6Uwm8xYU7ca66evzcgbgBACl7oj\nOHisH63n/RiZUWWzmrF6UQ3uWDkTM6qHf4/l5YWG98Np8GJgjrdjy5frBHLjWo9ffRt/vfQyAMBi\nNcGrePHXSy+j1O3C7bWL4u8b77X6VB+so+yl4Vf9Sf28ZE2BLxaAUzfDiamNIUNjUKf/Cv737Rdw\n0Tu8dqrUWYz/t/AeLK9rTskkS0xSEY6pMMEEl80Kt8WOAmsBbBZjKgUlY7zNZykN/N1uN+bMmQO7\n3Y45c+bA4XDA4/GgomLsSh59fcEx/y2XVFUV81oNlAn5m8DEr1XVdPiCk9+JN6JGEFVTPxtdUurC\nG5eOYX/vPkS04fPPLJyFTTWb4LaXIRpUEUX6FhdfT9UETrcHcbTVj15PYqWjkkIb1i6qxeqmahQ4\nB29eHs9gulJ5eWH8v43ksFlQUWrcWgGOt6PjWJt9XmzdDVW9MSXmxdbdmGaZCWBi1+q2utEX7b+h\nvcpVlpTPa7CiWgQRJWJIkc7y8kJ09vThtc49ONp7It5uMVmwrm4VNk5fA7vFDq83ufcCSdYQiSnQ\ndDFcktPqgmayIAgZwNQrFCVrvJ1eVWT4MbNFSgP/FStW4Oc//zkeeugh9Pb2IhqNwu12p7ILlAcy\nIX9zMiRZgy8sTaq8vi50hJQglCRs+HIr/bF+/N/lvegMdsXbiqzF2FizEQ1FczIurScUUXH8jB8n\nzgQQiSUGEzOrC7Fh8TTc1lAGizm7F59xvKVc0R/1jN4eG739VtbVrUq4R4xsN5qqqwjIQSgGpV1q\nuoZd7QfxwunXEBtRmrmxbB7umf0OlDvLDDnPWIQQkGQdEUmBrguYTGa4rE44LS5W6MkSKQ3877jj\nDhw5cgTve9/7IITAV77yFVgsrN1Kxkpn/uZkhWMKgpHJBe2KriCkBKELY0vB3YqkSTjcfwinvCcT\n0nqWlS/H8ooVKd0QZjyu9sdwtNWH0x0h6CM+KovZhOa5ZdjYPC2nZoE43lKuqHSVjzpDX+mcXIGA\nofvAge4j6I95UOlMzlPhiBJBSAkbthXXBX8HXmrfmfBZVDjLsa1+K+a5Gww6y+iuD/jNJjMKrAVw\nskJP1kl5SQouMKNkM3p2KJmmuilXVI0OptaksFSnEAKnA2040LsfUW14gdqswtnYVLMJpfbMmVXW\ndIGzHSEcbfOjuy+xZF6hy4o1TdVYs6gWxQWZt/bACBxvKRckY4a+qaIxaRNBmq4hIAchG/QE1hfz\n4+VLr6HNczbeZrfYsWXGeqyuWQ6LOXlf6K8P+C1mK4psrNCTzTK3Fh3RJBk9O5QsU9mUazC1JwRF\nN3aXx1vpj/Vhd88uXI1ejbeV2Epwz5y7UG2altK+3EwkpuHEGT+On/YjFE38UlVX6cKGxXVYMqcS\nVgtnqogyXapm6I0QVWMIyqH4U9CpUDQF+64cwv4rR6CK4VShNTOWYUP1OhTZk7fo9fqA32q2odDG\nCj25gIE/5ZxU5m9O1lQ25VJ0GSEllNLUnpgWw+G+Q3jLdyp+Q7OYLFhesQLLypejoqwE/gwocdnr\nkXC01Ye2i6HBBWfXmExAU30pNi6ehtk1JZypIpqAUxcHsPdEN/p8UVS5Xdi4pA7NDWMvEk+GZM7Q\nG0EXOgJyEJI29ckYIQRaPWfwSsfr8MuBePv0ojrcW38nFs+al5QFr0PnHhnw2y12uOwuWDMsdZMm\nj4E/5ZxMnx2a7KZcQghEtQiiKdyQSwiBNn8rDvTtT9hdsr6oARurN6HEXpKyvoxF1wXOd4ZxtM2H\nrp7EdB6Xw4zlCyqx4bZpcBc709RDoux16uIAfr/rQvx1jzcaf53q4P9mjl99Gy+27k5LJbeYKiEo\nh+I7k09FT6QPL7bvQEdguDxnoa0Ad83agiWVtyVt0iIh4BcYrNBjd8JiZpiYa/gbpZyUqbNDk92U\nSxMaQkoIagqr9vTGerHn6i70xHribSW2Umyq2YTZRfUp68dYYpKGk2cDOHbaj0A48TOtLnNgbXM1\nls+rhd3GBa1Ek7X3RPeY7ZkS+LcOnMFfL70cL/mZqkpuutARlMMJkyKTFVWjeL1zH97oOZa4B0rt\nCmyevg4O68T3dBmPkQG/EIDTwgo9uY6BP1EK6ELAH5IhKRNfxCtrEkJqCCJFC3hjWgyH+g7iLd+p\neJvVZMXyipVYWr4U1jTPAA34ZLS0+fDWhSBUNTGdZ/7MIqxvrsX86RVM5yEyQJ9v9CeMfb6pB7tG\nSUclN1lTEJCD0MTkCjMM0YWOo70n8Frn3oSnuXNLG7CtfisqXclZmzYY8GuISCqEMMFpccFlcbJC\nTx5g4E+UZJPdlGtw05cwJANmk8ZDFzpa/W/jUN/BhBmsOUVzsKFmI4pt6UvrEULgwuUIWlp96OhO\nDEQcdjNun1+G9c11qC7NnXKcRJmgyu1Cj/fG4L/KnTmpc/1RDyzWG7/oJ6OSmxACYSWCsAEbJXYE\nuvBS+w5cjfTG28ocbtxTfwca3XOTMnkxMuCHMMFpYUnOfMPAnyiJYpKKgUBswtU2NV1FUA1BM2jT\nl1vpifZgd88u9MWGb0BuuxsbazZjVuGslPRhNJKs463zAbS0+eELJqY5lZfasGpRJVY11qLAkZzH\n4ET5buOSuoQc/5HtmaLSVQ6v4r2x3eBKbqquwi8FEyrsTEZADuLVjl04NdAab7OZbdg0fR3W1q1I\nylPV6wN+l6UADouTT0bzEAN/oiQJxxTIME046I9pMYTVcEpq80fVKA72HUCr/+14m9VkxcrKVbi9\nbGlS60PfjDcgo6XNj1PnAlDUxM9hzowCrFlUjaZZlWlPOyLKdUN5/INVfWKocjvTUtXnZtbVrcJf\nL708artRjNiMS9VVHOh+A3svH0zYZX1xZRPunLUFJfbiqXf0OiMDfpMwo8BayBr8eY53TSKDjdyU\nq9w5/prHQugIqWHII7ZhTxZd6Hjb9xYO9R2EpA+fb27xPKyv3oBim/E3oFsRQqCjO4qWVh8uXE58\njG63mdA8rxRrb6vGtDI3F54RpVBzQ0VGBfrXa6poRKnbNVjVx+BKbkZsxiWEwBnvebzcsRNeyR9v\nry2oxr0Nd2JW8Ywp93O0c8ZkDVFJhRkWFFiK4LDwySgx8Ccy1GQ35VJ1BUElBH2KC8XG42q0G7uv\n7ka/1BdvK7OXYVPNZswonJn0819PUXS8dSGIljYfPP7Em6u72IblTW6sbKxGqauQeahENKrbaxdh\nmsXY8SumxhCUw1Mq09kfHcBL7Ttx3t8ebyuwunDHzE1YVr3Y8EmMkQG/BTYUWUtgYw1+GoGBP5FB\nJrspV1SNIKJFk57aE1EjONi3H23+tnibzWzDyopVWFJ+Oyym1Kb1+ENKPJ1HkhNvrLPrXFjRVIbb\nZlfCaXXxsTQRpYwRZTpjqoTdl/fj8NWj8c0WTTBhVe0ybJmxAS6rsYujhwN+DTaTDSXWUtbgp1Hx\nr4LIAJPZlEu/VptfSXJtfl3oOOU9icP9hyDrw7tKzi+Zj3VVG1BkS10lHCEEunqiONrqx/mucMJ3\nHavVhEVzirGyqRwzKt1wMA+ViFJM1uRrZTonN8svhMDxvlPY0bkbYWU4ZbG+ZBburd+K6oIqo7oa\nP19M1hCTVNjMTpTaimBO8SQOTd6DDz6I7373u6iqMvbv4mYY+BNNUTAiIzzBTblkTb5Wm3/qOz3e\nTHfkCnb37MKANBBvK7eXY1PNZkwvND6vdCyKqqPtYggtbT70eRO3tC8ptGLpwlIsbSxHWQHzUIko\n9YQQCClhRKawM3pX8ApebN+BK+Gr8bZSewnuqb8DC8vmGzqRoes6IpIGWdHhNDtRaitmKiSNCwN/\nokkSQsAflhGTx5+XL4RARIsgNoWby2guhS6h1f82gkoAxbYSNBTNwaVwB84ETsffYzPbsLpyDZrL\nFqcsrScYVnH8jB/Hz/gRkxK/5MyocWJ5kxsLZrlRaCuA3TL+hdBEREZRrm3GpY5jjdV5XzuO9Z6E\nV/KhzOHG0urFqCmoxI7OPTjeN2LTQ7MVG6etwbppqwzNsdc0HYGQBH9QgdPigtvGkpzpcuTIEXzn\nO98BAKxatQrHjh3DwoULcfLkSaxcuRKBQAAtLS143/veh4985CP43e9+h+eeew4AcN999+H9739/\n/Fj//d//jQsXLuDf/u3f8Mc//hHPPvssAOChhx7CvffeiwcffBDl5eUoKirCU089NaV+M/AnmgRd\nF/AGpQkt4tWFhqASgmpwas+l0CUc6jsAYPCLxdVINy4Ez8e3fQeAxpIFWFe9HoXWQkPPPRohBK70\nxXC01Y+zl0IJ6TwWswkLG4qwvMmN6ZXFcFldXHhG43Lq4sC1kpJRVLldGVdSkkaXzN9b68AZHOg+\ngv6oB9Pd1VhevmzClXzCSgThcZbpPO9rx87OXfHXA7EB/OnCC4iqMagj9lxZVL4Ad83eArejdEJ9\nuRlV1RGVVCiqwDRnKUrtdgb8abZjxw588IMfxLvf/W789re/RUtLC7Zs2YLHHnsM69atwx/+8AcU\nFxfjH/7hH/C3f/u3+NWvfoXnnnsOQgjcd9992Lp1KwDgueeew+XLl/H1r38dXq8Xv/zlL/Hss89C\n13U88MADuOOOOwAADzzwANasWTPlfjPwJ5ogVdPhDUrQJrCIV9FlBJXkpPYM1eCX9cH0oZFbyFc4\nKrCpZgumFUwz/LzXUzWBM+1BHG3zo2cgsSRpkcuCpQtLsbixFGUFBXBaXKzBT+N26uJAwiZSPd5o\n/DWD/8yVzN9b68AZ/OnCC/HXV0N9+JNv8PV4gv/JlOk81nsy/t8xVUJAThxvqwsqce/sO1Ffatym\nh6qqISJpUFUBl8WFQrsTLpsLUVPYsHPQ5Hz84x/Hj370I/z+979Hc3MzdF1HY2MjzGYzysrKMG3a\n4H1XkiR0dXWhsbERNtvgRNfChQvR2dkJYPDJQVlZGUwmE7q6unD16lU89NBDAIBoNIre3sGNNevr\n6w3pN++8RBMgKxp8IQkTKdwTVSOIGLC9+1h8shchJZRQj98EEwqthXh//QeSXvM+HFVx9HQPDh3v\nRySW+Kh8WpUTyxaWorG+GAU2F1wWJxee0YTtPdE9ZjsD/8yVzN/bge4jAICoKiGshKEJDRaTBS91\n7Lxl4B9VYwjKoYSnouPhlXxQdRUBOQRJG16rZIIJ2+q3YmXNUsPG26GAX7kW8BfZmdIzFZKs4cIV\nP850+XGuy4//+eq2KR/zL3/5C+6//37MmzcPn/jEJ3D+/Pkxf0fTp0/HmTNnoKoqdF3HW2+9henT\npwMAvv3tb+Opp57Cq6++imXLlqGhoQE///nPIYTA008/jerqagCA2WzM39a4Av+BgQG8+eabsFgs\nWLlyJUpLjXt8RZQtJlq5Rxc6fJI/aUG/JjSc8ByHR/Ik3MAcZgeKrEUoc5QnNei/2h9DS5sfbe1B\n6CMeZJjNwIL6YixfWIq6qgI4LU44LU5uukWT1ucbfU1Mn2/y5RYp+ZL5e+uPehBVJfiHNsQymaDq\nKjoCnWgdODNq8K8LHQE5mBC0j5esyZA1Bf0xT0J7gdWFmUXTsbp2+aSu43qKMrjLrqoBLovzWsDP\nsXOidCHQPRDB2U4fznb50HE1BN3gktlNTU34/Oc/j5KSEtTV1WHu3LljvreiogL3338/HnjgAaiq\nio997GMJlXz+9V//FR/96Efx7LPP4m/+5m9w//33Q5Ik3HvvvXA4jC14YRLi5p/E888/j29961tY\nsWIFNE3DiRMn8OSTT2LLli2GdmQsfX3BlJwn3aqqinmtGWBkzmila3j3x1BUQSg6/kfCQxtyFZc6\n4PdNLPBv7wni1PkBBMIySgrtaJ5bgfqaxJ10u8Jd2NOzC17ZG2+zmqwoshbFc+bXVK3DrCLjHjkD\ngKYLnLsUwtFWP670Jd68C5wWLGkswe2NpSgpdOBqpBtv+U7Br/jgtpdhafkyzC2ZN+axz3b58EZb\nL7xBCWXFDqxcWI35M9yG9t8I5eWF8HiMf8zusFnQOKfS8ONORKb+f/nj50+hx3tjEFlT5sIn/q55\nQsfK5PHHaEPXOta4NtJ43jMeI3P6/WEZNosZTkfiHONkfm/X+9mpX6LVc2Y4t95kAoSA1WxFU3kj\n/r/mDyVcU5mjFIsrF6HBPXtC5xFC4NRAK17t2IWgEoq328w2OC1OKLqMAmsB6gprsLR6Mea66yd1\nPbIyuOnWUMDvtIwd8CdrDEq284FzOOZpgU/2juueAEzsWoMRGee6/Djb5cfZy36Ex7hnlxU78PPH\n751w/3PFLWf8n376afzv//4vampqAACXL1/GJz7xiZQF/kSpcn3OaF+0H89feAHhmIIZroZxHyem\nRhHWIpPakKu9J5jweNwXlgdfLwHqa4oRUkLY17sX54Pn4u9xmB2YX9KIqBpFUA2gxFaKhaVNhgb9\nkZiGk2f9OHY6gFAksXRpdbkDG1dUY2a1HQ6bDS6LC13hTuzr3RN/j1fy4LXuHQAw6kB/tsuHlw53\nxl8PBKT460wM/im1Ni6pS8gVH9lONzfauDb0eiiwH897xuP6nH6rxTz4RR5ICP6N+L2tq1uFk/1v\n39BeaCtAf8wTvyYhBHShoyfai57OXmzFlnEH593hHrzYvgOdwcvxNpfVhQpHGSJqBBE1CpfVBYfV\nBo/kiS/8nUjwL8kaIpICXTfBZXGiOEdn+M8HzsXvAcCt7wnjoWo6OnqCONvpx9kuH7oHRp9ks1vN\nmDOtFPNnlqJxhhsVpcZunpZtbhn4FxYWJjyOmD59enxxAlEuGcoZHSLE4Az34Z43MaP+1oG/EDpC\nagjyJB4jDzl1fmDU9pPn++C1nsWR/iNQxfAsRlPpIqytWgeX1TXpc95Mn1dCS6sfrReDULXhLzIm\nEzB/VhGWN5ViWpUT1RVuSCEBm3mwJOcxT8uoxzvuOTbqIP9GW++o73+jrZeBP8XzwQdnkmOocjtZ\n1Wecrh/XRrYPBfXjec94XJ/T77oW7CuajgKTydDfW1NFI2YXz8TlcDdUXYXNbEWB1QWX1YlKZzkO\ndB+BLnToQk9IhTzWe/KWgXlYieC1zj042nsi3mYxWbC2biU2TV8Lu8WO35/5P3gkzw0/O57jA9cC\n/pgCIUxwWQrgyPEc/oneE8Yy4I/hTJcPZzv9uNDth6yMXjCjrqIA82e4MX9mKWbXFMNqyb0vU5N1\ny8B/8eLFePjhh/He974XFosFL7zwAqqrq/HHP/4RAPDud7876Z0kSoX+6PAgLgSg6gIQIiGdZiyK\nriCkBONbs09WIHzjlwbVMYDLxa3o7BuezahyVmFzzRbUuGqndL7R6LrA+a4wWlr96OxJTK9wOsxY\nMr8Ety8oRUmhDXaLAy6LE26nG57I8ONY3xif2VifpTcoTaid8k9zQwUD/UkYOa4ltI/IVR/Pe8Zj\ntJx+l8MKs8mEL39k5YSONR7b6rfGn0xYrRao6mBxgbW1K/H8+Reg4ca6/F7JN+bxdKHjjZ5jeL1z\nL2La8NizoGwe7p79DpQ7y255nJsdHxhM6QnHFEA3w2UthD1Pdiif6D1hSExS0druwZmuwVl9T2D0\ne0KB04r5M0oHg/0ZpSgu4L4wY7ll4C9JEqqrq7Fnz+Bje5fLBZfLhUOHDgFg4E+5o9JVjr5oP3Qx\nuEnKkDJ72Zg/I4RAVIsgatCGXCWFdviuBf+6JYqY+zTUguHZcIfZgbVV69DkXmT4YtmYpOHUuQBa\nTvsRCCWm81S67VjWVIqmhmLYbBY4zA64rK4xNwJz28vgHWU2bKzPsqzYgYFRBvSy4tzdxddkAuxW\nC2xWM+xWM2xWzkiR8YbGtRvaneUTes94VLldo67FqHInJ7Vi5BMLv+pHlasMq2qWoaawCqWOklFn\n5Mscoz9BvOjvwEvtO9E74nOocJZjW/1WzHPf+MS3zOGe0PFlRUMkpgLCjAJLEey23B3bRjPee8IN\ni3J7QtBHKaNnNpkwq7YIjdcC/brKQpjz4AuUEW4Z+H/jG99IRT+I0m5d3Sr84dxfbxhkbi9fOur7\nNV1FSA0lbNwyVc1zK7DnxGXIxe2QSi4A5uEvIIvct2Ft1Vo4Lcam9Qz4ZbS0+vDWhSBUNfHa580s\nxLKmUsysccFsNl+r0OO65ZeOpeXLEvI5h4z1Wa5cWJ2Q4z+yPVeYTYDNaoHdZo4H/ETJtq5uVUL+\n/sj2ibxnPNKxFqOpohFNFY2orCxCe3cPIkoEqtCwtHpxwmZbQ5ZWL0547Yv58cql19HqORNvs1vs\n2DJjPVbXLIfFPPrkxniPPzTDbxJWFFiL4umQ+eZm94SJLMptnDkY6M+ZVgKnnRXpJ2PMT+2f/umf\n8JOf/ARbt25NeAwlhIDZbMarr76akg4SpYIuBGrts7GlZiuOe47BK3tRZi/D7eVLR80/jGkxhNXw\npBbw3oyp0ANt9iFI+nDVkVJLJe6ecQeqXTWGnUcIgYuXI2hp86P9SuKCKIfNjOb5JVi2oBSlxTaY\nTOZbVpm43tBnNp7PEhhewJsNVX3Gy2I2XZvJHwz2mWNK6TByVrw/5kGl88aKPeN5z3ikay2Goqvo\nj3gQVobHsqE8+2O9J+GVfChzuBOq7iiagn1XDmP/lcNQxfDkzdKqZmyduQlF9qKbnvNWxx9atGsS\nVhRaiw0L+M92+XBi9wX0DISzapwceU/wxHywRmrgDM/CC6ciuDJwdNSfsVvNWDC7HPU1RZg/sxQV\nJbm9DiJVxgz8n3zySQDAokWL8KUvfQlCCJhMJggh8Nhjj6Wsg0TJpmo6fEEJqi4wt2TeTRca6UJH\neIoLeEcTkAPY17sHF0MX421OixNrq9ajqbTJsMFOVnScOhfAsTY/vMHEWZXyUhuWLXBj0dxi2G1m\nmE1mOC2uawH/xM9/q8/yeoO5mZl/AxvLUOqOw8ZAnzLL0Kz4VN8zHpaSAdjnHocj6oHdVQ5LiR1A\n8gL/iBJBSAmjrKDwhn+b666/YaGtEAKtnjN4peN1+OVAvH1aYR3e2XAnpheN/+nEaMcfCvjNBgf8\nwHD1M6vFBF1kV/WzgUAMvZ1FCHUuRld8Ue6NaWGDi3IHc/Vn1xajuqo4K0uXTtanP/1pNDc34+Mf\n/zgAIBwO4z3veQ++//3vY+HChYacY8zA/4knnkBrayt6e3vR2toab9c0DXV1LKFGuUGSNfjC0rgm\n7odq8+vixgVjk6XqKlo8R3F04M341u8mmHCbuxmrq9bAaTEmN9YbkHHstB+nzgUgK4kX2zC9AMub\n3Jhd54LJZILFZIHT6oIjTxadTZYJGMzPt1ngsA3O7BPlM6PKgo6HpmsIyEHI+vj3V+mJ9OGl9p1o\nD1yKtxXaCnDXrC1YUnnblMa71r7zONZ3EgE5gDJHOZZXrJh0mcqxZFP1s5E75ebqotyjp3vx6uFL\nuDoQRm1FIe5aPQvLF0wtPfXxxx/He9/7XmzduhXz5s3DN7/5TXzgAx8wLOgHbhL4//u//zt8Ph+e\neuopbN++ffgHrFZUVLCyAmW/iWzKFVWjiEyyNv9Y2oMXsbd3DwLK8KxTjasWm2u2oMpZdZOfHB8h\nBC51R3G0zYcLXYnpPDarCc3zSrBsYSnKSgYHWpvZBpfVlbc5qONhMZtQ6LRBL7LDbrNwMRnRCEaV\nBb2VmBpDUA5Dx/iqqO6M2z0AACAASURBVEXVKF7v3Ic3eo7FS3uaTWasrl2OLdPXw2Gd3EJbIQRk\nRUdb/3kc6D0AMwaflPpl35Rr1I8mk6uf6ULg6kAEZ7t8ONPpx6WeILSxFuXWFGH+DDcaZ2bvotyj\np3vxi78O7yPR3R+Kv55K8F9eXo4vf/nL2L59Oz73uc+hs7MTTzzxBE6fPh3PxHG73fj6178ORVHw\nmc98BkIIKIqCJ554AgsWLLjlOcYM/IuKilBUVISnn3560hdAlIl0IeAPyZCUW8/c60JHSAlB0Y1L\n7fHLfuzt2Y2OcEe8zWVxYV3VeiwoXTjlWXZF1fH2hSBaWv0Y8Cf2u7TIimUL3WieVwyH3QKYTHCY\n7XBaXLCauVDqeqOl77iLHVBixqZ6EeUCo8qCjkUXOoJyKKHU5q3e39J7Ajs79yZUXptbWo9t9VtR\n6ZrcJKYQ4lpKjwoLbDjtPzNqhbOJ1qi/lUyrfhaMyDh32T+4gdYtFuXOn1GKxpnunFmU++rhS6O2\n7zh8acqz/lu3bsUrr7yCRx99FL/+9a9hMpnw5S9/GV//+tcxb948/Pa3v8V//ud/YtmyZSguLsZ3\nvvMdnDt3DqFQ6NYHxziq+hDlElXT4QtJCZtRjcWo2vwjj9cycBQtnqMJaT3NZYuxunINHJapDd6B\nkIKW036cOhtATE7s86xaF5Y3udEwvQBmswkwmeC8VpLTPEZJznzE9B2iyTOqLOhoZE1GQA5CG+d4\nfCnQhRfbd+BqZDg9psxRinvqt6LRPXdSEyy6riMqaZBkFVazA8XWUljNVgQU/6jvH88eMBOR7upn\nqqbjUk9wsPpOpw9XbrpTbkl8A61cXJR7dWD0dQdXDVqP8O53vxuxWAw1NYNFPc6fP48nnngCAKAo\nChoaGrB582a0t7fjU5/6FKxWKz75yU+O69gM/ClvSIoGf0jCKE8fbxBVI4ioow9qEyWEwMXQRezr\n2YOgOlytp85Vh001W1DprJzSsS/3xnC01YdzneGETCSrxYRFc4uxfKEbFe7B9B2TyTTukpz5wmo2\nwX5tRp/pO0STZ1RZ0JEGn7qGEVVj43p/QA7i1Y5dODUwvDbRZrZhUcUCyKqMPV0HcKqvNaECz61o\nmo5oTIWk6rCb7SixFcEy4gnpRPctmayhPP6TFzy4mqKqPgOB2LWa+n6cv3KrnXKHF+XmenGD2opC\ndPffOMNeW37jInMjNDQ04Jvf/CamTZuGN998E319fTh06BCqq6vxs5/9DC0tLfjud7+LX/ziF7c8\nFgN/ygvhmIJg5Nb5/IM3mSCUCSwYuxlP1IMXul7GpfDwY0GXpQDrq9ejsWTBpGdBVE1H28UQjrb6\n0OdNTDspLrRi2YJSNM8vgcsxOGM9WKFnYiU5c5XVbILNZoHdaobdZobFnN+fB5FRjCoLOkTWlGuz\n/LdOy1Q0BXsvH8SeywcTxu/miibMd8/FwauH420eyROvwX+z4F9VNUQkDbKqw2l2wG0f/QnpRPct\nmYr5M9xYs2R60irdTGRR7rzpg+k782aUoiSLFuUa4a7VsxJy/IfcuXpWUs73+OOP44tf/CI0bfD/\nhaeeegputxuf/exn8cwzz8BsNuORRx4Z17FMQhhciNxgfX3BW78pB1RVFfNak0AIAX9YRkwex41D\nlxFSQoak9ii6gjcH3sBxz7GEtJ4lZUv+f/beNDaONL3z/MWVmZF38qZE6qYkqlS661ZVubrb7m4P\n1mO317M2bM/CXxawDQ/mi+EZGzAMLLCAxwb2w3yw17vbxmCmvd71tI9uu7uqq6urS6qSqiSVSlfp\nICVR4iEeSTLvK653PyTzIpOnSImi4gdIYr4ZERlBkW/843mf5//wUtsreJS1TZLZvMXVOymuDqYp\nFBuvaXuHjxP9Ufb1BsrpPIAsKehPwKGnpSWwaS3XKhF9TZXxakr1e7NWNvLnt709tCHHXSnPwxzk\nzrWbHyEEWTNHfgUd0YUQDCTv8cHIT5nO11JruvwdfGPXV9kR7uG7A99v2mW3xdvCL+//HxaMG6ZN\noWRh2WLFK6T30ndX3LfkcVnP+baxKDfJ8GR22aLcvt4I255QUe5G3VtePPD4fXEu35nigwvDTMzm\n6GoJ8NV1cPV5ErgRf5cty2ry+fNWnsI6pPYIIbifuccnUx+TtWrLgNv0bbzZ9Tat3rUVkz2KF/ni\nVpKBh9mGVCVFhoO7Qxw/GKWztVYjoMoqPkV/7LqBZxEJ5nL0XT99F5dnDdOxSJfSWCuI8k8XZnjv\nwU+4l3pQHdNVna/0nuZ4x5GqWE+Ukk33nz9umDb5ooXtgK74CHlW17Rwo4T+epMtmAyOJp/Lotz1\n5MSBjmdC6M/H/V902ZKUDJtUbvl8fkfYc649j5/akyglODt5htF8rfgqqAV4rf0N9oX6Vh1xt23B\nwMMsl28nmZhuXG4N6ArHDkQ40hfGr9d+jZ9XS05ZAq9HxauVo/pbrZDMxeVZ49bMQDnlpzBLm758\nyo8QgpyVJ2/mWS5UU7RKnBk7x4WJy9UVWlmSONV5nLd73kBXG/ufxLzRphH/mDfa4NCDkNAVHa9n\naxWjlotys2WxP5ri0XTzCLpWV5S7f4sW5bq4wt9liyGEIFMwyRetZbc1HYOMmUU8ZmqP6Rhcmi6n\n9VR8pWVkjrQc5St736KYWV3Dr1zB4tpAmqsDKXKFxn2727wc74+yf0cQRalNyB7Fi/6cWXJqSjlH\n3+dRXPcdl2eWG0MzfHxtnHiyQHtU5/SRbg7vfjK9clYrzldz3NU08rIci7SRwXSWnreFEFyN3+CD\nkTPkzNoK7a7wDv6no/8Krxlsut+xjherOf21Y0F/tJ9EuoiEgl8N4NlCTQvdolyXxXh+VILLlmd1\nqT25Bl/ntSCE4G7mLuemPiZn1SIoPf4eTne+RYu3Ba/ipcjKUogmZ4p8cTvF7aEMdt0cLUuwf2eQ\nE/1RutvrIllzlpw+VW/qIb3VkGUJb9Vq8/Fz9V1cnjY3hmb47kf3q68nE4Xq640W/xvVZffG0Ax/\nM/BjciKPpsgEda1qMtCskVfezJM1c8tG+cey4/xw6AMe5carYxFPmJ/b+TMcbNlPayi4aC54pYD3\nytR1EqUkIS3M/uBBun07yxH+LZASWTJt7j9KV8X+TLq5C9LzXpTr4gp/ly3CSq06HWGTMbNYj5na\nM1ua5ezkGcbyo9WxgBrkjY7T7A2t3CPacQSDwzm+uJ1kbKpxotZ9Ckf3hzm6P0LQX/tVleoceray\nJWfFU9/rUfCo5eJcF5etxMfXxhcd32jhvxFddisPMrnOsq+9aTlzXWW96F6loZGX7dikjQzGMnNx\n1sjywchZrsZvVMdUSeWN7S/zevfLaIq2onPbGeylQ9tGybRRZQ1d0ddssrAZWHmnXOjtDFVz9Z9U\nUa7L5sUV/i5PhPrl7J7OMC8daFu3G1t+zqpzuYiRYRtkrcdL7TFsg0szF7k2e7UhredoyzFOtb3E\neH6cHz16j4yZJqSFOcVxWlnoHlAo2ly/m+bK7RSZfOPydkeLlxP9EQ7sCjYsu8qSgq748CpbN+9S\nVaRaYa4qb9nrdHEBiCebrzrGkyvzrH8cNqLLbuVBRrGC2GrN3CBbMNG9SrWRV8EqkjGyiCVmbdux\nuTBxmY/GzmHYNcviQy0H+NrOt4l6Iys6p5JRcehx0GSNsCeIJq/sYWGzUSnKHZ56wJf3Z8guU5Tb\n1xNl73a3KNelEfenwWXDmb+cPT6d5bsTaeDxlrOFEKTzJoXS8nmheTtP8TFSe4QQDKYHOBf/pKGx\nV2+gl9MdbxHzxhjODvNZ/Hz1vbSR4qcjZ3gp9go7gmVv33iixBe3U9y6n2lISZIk6NsR4PjBKNs7\nGoW9IqtbZjl6PrLEnPuO4nrquzx3tEd1JhML56X2qK/J1uvLRnTZrTzI+HK7yEVqEXpzLnfxla6T\npEppinZzb/gKd5NDvPfgJ8zUPYR06G18fddX2R1Z3iddCEFxTvA7jsCjeIh4dNRnTPDbjsPDiVUW\n5fZEaI1s3eDQVuezzz7jd3/3d/n+979Pd3c3AH/+53/Onj17+Na3vrUun+EKf5cNZyOWs23HIZkx\nqjeUxSin9mSwlikaW4qZ0gxnJz7iUeFRdSyohnij8zR7gnuqE+yt1MJmHgC3krcwZlu4fDvFyETj\nTd7nkXmxL8yxAxHCwcabkiZr+J7x5ej5VNJ3KlF9N33H5Xnm9JHuhqBI/fhGsxFddisPMt5iFwDF\nwANsNUdACvPNnW/TGWhfUvTPFhP86OFPGUjcrY75FC8/03uaU53Hlk1tFI4gX7IoGhYCCa/sQffo\nDV12Nzuz6SIDc1ab9x+lKZnNzSG6WvzV9B23KPfpcHXiJh/eP8dkbprOQBvv7Hmdo12HHvu4mqbx\nH//jf+Sv//qvN+QB7tn5bXB5Zlnv5WzTsklkDZxlEvofN7WnZJe4OH2B64lr1SVpWZI53nKCE60n\nFywXZ8x0w2vHUsg8amN0rJ0bxYmG91qjHk4cjNC/J7RA/HoUz5xDz7MVnVoMVZbweBS8ajmq70ai\nXFzKVAIf5TTIIu1RX1NXn8dx36lPs/S1JlDbRzHlHG16C8faX2QsO74uXXah8UHGW+zCW+xCIPj5\n0110BnXsReZiwzb4eOwzzo9fbOjSe7LjKO/0nsav+Zf8XMdxyGQNZtNFhCThk33PjOnBiotyvSr7\n5oT+S4e7sY21B7NcHp+rEzf5f679U/X1RDZeff244v/VV1/FcRy+853v8Bu/8RvV8W9/+9v8y7/8\nC6qqcurUKX7/939/Tcd3hb/LhrNey9lCCHJFi1xh+Xz+x3HtEUIwkL7DualzFOxaWs+OwE5Od75J\n1BNtul9IC5M2Uph5L5lHHeQmWxFO441nb2+AEwcj9HbpjQJYKkenfFvAklOWyg20PKqC1+Om77i4\nLMXh3a1Lrnw+jvvO5TtTVSFe8k0wrdyA2XIOeJxp4oVpfmHPN9fFwhMWPsi0RlWO9YfYuU1vur0Q\nghszt/jx8EdkjFpNQG9oO9/Y9VW6A4t3VxVCYFoORcPGMG2isopP1VfUZfdpsh5FuZGgl9lZV/g/\nTT68f675+ND5dYn6/8mf/Am/8iu/wunTpwHI5XL88Ic/5G//9m9RVZXf+73f48MPP+Sdd95Z9bGf\nisKYmZnhW9/6Ft/+9rfZu3fv0zgFlxWwUn/pSjRqJDlFKedFTvTSo++ubt9sObtQskhlDf7X/3Jx\nRd7Vlu2Qyq4ktccha2bW3JBrujjN+49+RMKo5Zbqip+f6XqHXcFdi0arhRDECge5e2uGYqKx6ExV\n4WhfhGMHo0RDjVF8SZLwKj50xYf8DESnmiFRztMP6hpeTXY99TcR7ly7cB77V2/upbeluRDdiM9b\nqS//Yvs9jvvOjy8MV78uBh5Uv64U2y53nLVcy+Hdrbywq4WsmeP69C2uTH3Eh9eTxLxRjnW8WLXW\nHM9N8u6DDxjJjFX3VR0fL7W9xtf6Ti451xZKNkWjnL8vSRK66qdVbyFZfDyL5o0iWzC5O5qq5uov\nVpQbDMgc2tHmFuU+A0zmFtbHAExlm4+vllgsxh/+4R/yH/7Df+DEiROUSiWOHj2KppU1xKlTpxgc\nHHw2hL9pmvzxH/8xPt/GFy+5rJ2V+ktXolGFkj1n21aESIrhFHz3o0LD9pUokM+jkskZFOdyF5fz\nri4ZNslcCbFMmN90TLJmptrJcTWU7BIX4p9yPXm9Ydyv+PErfhSpeTdYw3T48l6aL26nSKQtoCb6\nPX6D44dDvLx3Ox6tMQIl11lyrrQl/GZBAtS55lkeVUHTZNqiOsJ0I1CbCXeubT6P/dcf3OQX3ti1\nIXaZa/XlX2q/x3HfmZipFYPWu+zUB1AWO85ar8V0LNKlDHcSdxuaZs2WZvnJyEcUrRIP0g/5fOpq\nbSch4cvuRs/u4c6Eyi5/ir6expXVquAvmTiCquDX5+bQzRTlX2lRriTb6NEceksGPZZG0w1e3PZV\n9obXXmDt8mToDLQxkY0vGO8Itq3bZ3zlK1/h/fff5x/+4R/4nd/5Ha5du4ZlWSiKwsWLF/nFX/zF\nNR33iQv/P/3TP+VXf/VX+au/+qsn/dEuq2ClBbmVaNT8CEYx8ABvsau6ff1y9l+/e4dM3mA+zYp9\n80WLdJNt51Ow8g1uOytFCMHt1C0+jZ+nYNeiRR7ZQ1ANVnNEb6duVZ15AJIZkyu3k1y/m1nQEXHX\nNj8n+iPs2uYnGguQStbOS5EUfKqO9xnrECnLEl5NwauVC3NdH+jNjzvXPnmf/LV+3lL7te1du/tO\nV2uA4TkHtXqLTU2RKVglcmYOkPj2je8syO9f7bUIIchZefJmHkG5Wdb89/NWgX+4988NwRmt0IE/\nfRDFruXxf347XhX+DQW7VcGvVwX/ZmG1RbkT2lUs/wSS3BjRujp7hb3hfU/ilF0eg3f2vN6Q418d\n3/3aun7OH/3RH/Hpp58SCAT45je/ya/92q/hOA4nT57ka1/72pqO+USF/9///d/T0tLCm2++ueKb\nUXt7aIPPavOwma41kTWaOq4kc0bDeSatJKqqYNkO9VrQ0XJoqrxgeyhHoVZy7FS2hIFEi2/xIlfb\nsckYGTQHIixdADafidwE7w39mEfZmluPIimEPCG8aqN1Zs7JEI7oDI3m+PTKNHeG0g11Bh5N5lh/\njFeOtNLe0hhhjUT9aLKGX9UXHHezIgFeT9l5x+tRV+S+s5l+fjeazX6ta5lrYfNf12pZ6Tz2tD9v\nqf3+bf9bTQXGN/rfWvYavvbyDv7rD8puY8HiHtKhawD4dEHKyADQokdImAl+MPwjIlG9mp+8mmux\nbItkMY3XkfASACBtp1GUcuCkaJVIFtMN7modgVaMsT14Su3lgboMwXTBIBz2kS9aFA0bj+7Bq3vR\nVR2/tngOf0tLYMnvx3pSNCwGhpPcvD/DzaEZpprUsQEEdI1Du1s4tLuVQ7tbiATL94D//eKPUVl4\nHRkntaLreJLX+rTZjNda+T35cOg8U9lpOoJtvLP7tcfO73/llVd45ZVXqq+DwSAffvhh9fVv/dZv\nPdbx4QkL/+9+97tIksT58+e5desWf/AHf8Bf/MVf0N7evug+8XjmCZ7h06O9PbSprjUW9DQtyO2M\n6Q3nGVWjxAvTqIqMadWiOIoVwLScBdtDYxSq2bGFEKRyBkWjecSkwlpde4p2kc/in/JlsuYzrUgK\nJ1tPES/Gy+lCddfi2BJidjv/+Ys7TCcbVx8iQZXjB6Mc3hfC61EApyHC39EapZgRCFkjh0WOzZkO\nU2+z6VFlVFXGMQQFw6KQW9pzGzbfz+9GspHXul5idC1zLWy9+bbZPKapMtGAZ0OudaXz5mr226b0\n8vM7fq7s6lPnvrNN6V32Gk4c6CCVys+lWXayXT+J2j7Go9JDVEkhoPnxSB4sqzzXvnvrDNuU3lVd\nS87MkzNzCwwXwkqYqUKcjJFtsPCUkfnqzrd4ufMEfzd5n+l8zcVGCAECIkEP94cTQDnC71N0fIoX\nQwKD5gK7pSXA7GzzlJr1QAjB+FxR7uBoiocTKyjK7ZkrypXLUTHbsKpFuUElTKK0MM0q4m1d9jo2\n+lo3Ext1rdvbg499jKNdh9alkPdJ80SF/3e+853q17/5m7/Jn/zJnyx7I3J5OqzUX7riBR3Utbkc\n/zK+3K6m20M5CvXt791YMH76SDeOI0hkSksW8a61IZcQglupm3waP0/Rrt1sdgf38EbHacKecEMT\nLquokR3vIDvRhmOpQE307+jSOd4fZc92f3VSryJJeGUvuuIj4o1g5zbnBK1V8vTdLrlbDneuLfOk\nffLX+nnL7dffun/NzjvNXIP+08X/jGDhHFuf77/cOVmORdrIYDbpkWLaJrIkEy/MNIzrqo9v7vpZ\nDrcdBODkwXbeuzCCEAIhyo43AId2tyBJMvpTroNaaVFuNOhhf290VUW5x1qO8+H4BwvGj7Yce+zz\ndnFZCrdk3KUpK/WXrtyMzo9fRJKmKGW9yIkd9Oi7OP1KcweIEwc6SL29Z8GxD+6IMZMuNo2iVLCF\nTXYNDbmmCpOcmTzDVHGyOhbRIrzZ+RY7gjurY72BXqanHT6/nSQ9FaAcCy+jKhL9e0IcPxihPbYw\nZUeSZHyKF98mdehRZanaIdfN03d5Hmg2j22kq89K58217vfDLy9xdvQCeSeFX47wZs/LfPOFU6s+\nz5V07V3qnPJmnmyTKP/dxBBnx87xKDfR4NmvyRo9wW28vu3lqqsPwJ7uMG8d7eaLgTiprEE04OHI\n3nb6t3fgVZ5891nbcRiezFY99ceW6pTbHaavN0JfT5S2NXTKreTxX529QsJIEPPEONpyzM3vd9lw\nJCGW80p5umy1pefFeN5TJUqmTSpbYqmeXCW7SM7KsZof2YJV4LP4eW7WddVVJZWTbac4FjuOIpcF\numUL7jzIcPlWiqnZxtSWkF/l6IEIR/rC6L6Fgr7s0FNeip4fmXqaS7JKReirMl5NWbgysY487z+/\n63nsp8nz8H+4mX5WV9OY64dfXuLd4fcXjH9jx88uKv4Xu9b5vQEqLOfpbzs2aSOD0cQu+fPJq7z/\n8MOG92RJ5uXOk/zszrcbhLFh2lX//QqKpKCrOp41Gh+sda6dTRcZnIvq3xtbvii3rzfKrqfcKddN\n9Xl8XjyweI+IrY4b8Xd56uSLFpm8sWhTLiEcclaO0hKt3ufjCIebyZt8Fj9Pyanttze0l9c7ThPS\nygIrm7e4OpDi2kCafLFxwt/e4eNEf5R9vYGmolmRVXTFt+Yb1XojyxLeSp6+5jbOcnHZzKy2MdfZ\n0QtNj3N29MKqo/71K7Ur7dpbsApkjFy1i3ltvMhHo59wYeJyw3hA8xPU/GSMDJIkYdvlZlsl027o\nul6eR3W8ypMxPiiZNkOP0mUHntEUM6mlO+X29ZSj+uGAh8HRJBdvTfKjC8PEQl5OHexYYDvq4rLZ\ncYW/y1PDEYJs3iRfWjxtx3JMsma2oY37ckwUJjg78RHxUs1jN+qJ8WbnW/QGyoVr4/Eil28nGXiY\nxalLdVVkOLi7nM7T2drc/1yTNXyKjkfxrPicNoJah9yy2H+aESgXF5fVsdrGXHkn1XT7vLPQKGEl\nrLRuYLEovyMcvpi6zk9GzjZ0SfcqHsKeYLUD+WwxQSpbajB/AFBlDf0JzKPrUZQLMDia5L0LI9XX\nM+lS9bUr/l2eJVzh7/JUMEybVM5YMp+/YBXI23mW7dw1R97K82n8PLdTt6pjqqTxUttLHGk5Co7M\nraEMX9xKMj7duHoQ0JVqOk9Ab/5r4VHKBbuqvLi96EYiSeBRlVrjrBVYbLq4uGxOVtuYyy9HyDUR\n/345vK7nVU/eLJA1swtWY88/usTZsXMNbj0SoMoquuJHkVVspzx1R7Rwg+j3KB50Rd/QeTRbMLk7\nlqrm6i9VlNvXE6WvN8q+ZYpyL92eWnTcFf5PH1kCWZKQ5bk/la+lsjNUbYznvr7NFf4uT5x0zmA2\ns3jajiMcsmYGs0ke6WLbf5m8wYX4Zw1pPftCfbze8QayrXPxeoord1LkCo0rB12tXk70R9m/M4ii\nNJkMJAmf7MWn6tVmXk+KeotNryajqZuvYNjFxWVtrKTAtp43e15umuP/Zs/L635ui0X500aGf7z7\nAx6khxvGZWR01UfJNsoPCiKARy5H8g9G+huczhR5/WWH7TgMDif4/OZEtVNus3CRpsjs2ba2otxE\npkTJsMgVLWzHQZFlAj6VxOYoF9nSSBIokoSiyMiyhFL3p/J6M6TbPiu4wt/liSGEIJ0z0Fn8F3S1\n3vzj+XHOTH7ETKl2A415Wnir8y20UjsfX0hye2iyYWVBlqBvZ5AT/VG2tTdP5yk79PjmHHqeXGTd\ntdh0cXk+qFghNxtvRiWPv+zqk8YvhxtcfZoVCre3n1z1eTXL5bcci0/HP+fs2PmGgIwsychCAknC\ncmwCaoCCXaBoF2n3ddAfPURfZD/6BjidrbZT7uMW5WqKzGSuZuls2w7pnEE48HRTPp91JKgK+Mof\nVZZQZBlFkehsDeBZtALQZS24wn+LcWNoZs5+rUB7VF+RldxqWI0LRT2OECQzJQzLoZmR3mq9+fNW\nnvNT57iTvl0d02SNUy0voWf3cfZsmrGpkYZ9dK/Mkf0Rjh6IEPI3/9F/0t7Rqizh8dTy9J/3JUgX\nl+eFZgW224PdnB+/yP838E+Yjokma/SGtvFa90vY6VYe3vWhJ19ix7y5fbFC4UhUrzbkujE0ww+/\n/JwJ7iB588T8fgK6hmGbtOktvNJ1kmzCxwcDXxBnCMlTpCMQY0/rNq5Nf0milKweX5VVIp4g6VIW\nGwdH2FjCQiDmCnV9/Oudv7SugZOGotyRFDPplRflrg+LiM/NbYy4bgyOJrl0e4pEprSqwuZKuo0i\n16L1siShKOWvl3sQ20g3uucVV/hvIW4MzTQ0XJlMFKqv10P8r9aFooLtOCQyJSy7+QRpOxYZK4u9\nAm9+RzhcT1zn4vRnGE4t+rIn0Ecw9SIXPzLI5BpzMdtjHo4fjNK/J7joJFOz5NxY72gJqqk7bkGu\ni8vzTX2BbWV+LVhFUqVawa5AMJycxBjtw1vsAhbO7YsVCn84dJ5f39fLjaEZ/uazc+Qi5caJjm3y\nqJBENSRiviiT+Sn+9tb3yM/EMH3lXifCthnJDzNSHKoeT1d1op4wtuMAEgJw6hqBOY5DzskR0SL4\nVf9jfW+EEEzM5hkcSTEwmly6KLcjxJH97fS0+tne1tyF7XExbUEo4CFfl+rj96mYi9zXthKLFTYr\nskT/zpaGlJtanj2us9wmxRX+W4iPr40vOr4W4T8/up82miczLuZCAWBaDolsqcG+rZ7inDf/SqIm\nj/JjnJk8w2yp1g0yorYQShzlzuc+LDtfHZck2Ncb4ER/lO0di4t5WZKrEaqNEvyyBF6PWhX7blTf\nxWXzstZVzcelhvm+fQAAIABJREFUIt5zZr5hPGfmECU/TuBBVfhXqMztixUKT2Wnq9sVAw+q40Ip\n10JZjkPWyKL6wuSKFoZ/BMnREEoJIRv1/Qs51XGcVzpeZST9iPOT5wCBVLeBTFnkSdLS+dZLRY7r\ni3LvjqbIrKAod++2MLpX3XBv+1jIiyNYUAAcCz0ZG9IniQQNufRXBqdRZAmk2o+EJElcuzfD64c3\npgu2y8bhCv8tRDzZPE0mnmy+JLoUzaL7E7kpIt4Iuto40S3mQlEybJK5UlNN7wiHnJXFsI2Fb84j\nZ+U4N/UJg+mB6piKhjdxkInBbiaQqSzDej0yL/aFOX4gQji4uGuEPNcsxrtBHvyqIuHVFNqjupuf\n6OLyjLDWVc31oCLe53cltxwLx3ZAXShqK3P7YoXCHcE2AEYLQxitEwjJQRIyQprLhxe1zzNtG6GW\nyg8FUt2c5Si0+CK83PIGwoIefy+vtL/G7dQtEkYCTZqbZ6VyEy6/4scUzVdv50eOp1NFvvfJA7a3\nBZhJF3kUX7wod/e2MPsfo1Pu43LqYEfDudePP2vIUkXYy2Vxr5Qj9aoiVcfrSWZLTVdR1qItXJ4+\nrvDfQrRHdSYTC8V/e7R5AetSNFs6VmWVnJlbIPybuVDkiiaZfPNojWGbpIwkzjIFvLawuT57jYsz\nFxoLypI9ZIb6yJi182iNeDjeH+HQ7hCatvjy4uN2h1yM+hQer0epTpwezXXicXF5Vlitt/56UhHv\nqqw2iH9VVhGKjFNcmDpTmdsXKxR+Z/dr3JoZoNha61wuJBskB+aKchVZwbBNhJZvFPxCQrK8KHho\n8ZZXjIezw9xK3SRjpol5W+jWt2GJhfN8zBNreo2Xbk9h2Q6luUZeJdNGCJo20aoW5fZE2dkVeur2\nxZVVibXkuT9pKgWytah9ncCfS8dZDeupLVyePq7w30KcPtLdkONfP75ami0dBzR/Q+5phXoXiopz\nT8Fo7rBQsPLYpfyyon8sN8qZyTMkjNp5iHwI48EhnGztprKnx8/xg1F2dutLCvmN6A4pS+DVFLwe\nxU3hcXHZAqzWW389qYj3+fOsJmsUtRymXSLV+im+3K5qyk9lbl+sE+/RrkP86a2/JKhrGDkvtjKX\nRiQkkASyJOEIwUwxUcvhEIDjQbI9SEj4dZWDkX6Gs8N8Fj9fdvJBJm2kqt3U58+rR1uOVb+uL8q9\n9TCxaK2X7lXZtz3C/t4I+3qiRDahW05fT/SpC315rp+L7lFQFLnB1rKSX7/erKe2cHn6uMJ/C1HJ\n4y+7+hRpj/rW7OqjOQHG0nFM20FTZIK6hu71EfVECHtDC1wovn//PVp8MQ5Hj7IrsHfB8cre/FlM\nx0Bj8aKvrJnl3NQn3M0MVseEpWKO9mFP9QIyHk3i8L4wxw5EiIWXvjmsd3fISgqPz6O4vvouLluM\n1XrrL8VqawXqxfuI9AjTNhEIDNsg7A2AqpEt5MlpN4hZXr75wsmGuX2xTrzThVl8HpmI0MkUBSYl\nkB1kSSofv84koUvbiZmIkVQf4niyKDIEPCEkSWIgdQdFUhoCLF7Fi0f2ENRCJIwEMU+MI7Gj+M1u\nzlx5tGRRLpT7lPg8Ch1Rnd/6+X7XwQUaHXCUes96uSrw22M6WMubYawX66ktXJ4+rvDfYhze3frY\nv4w3hmaID7VjRsruDqZVduUBL7/Q/5UFLhQCcBzBRDbORPbHvNMt2BveVz2e6ZSbuiwV5beFzbXZ\nq1ycvoBVlx9qxbdjjuwHy0sspHHsYITD+8J4lkjnAdBkD7qqoz1md0jXhcfF5flhtd76i7HWWoH5\n4v3bN75TexBRQfeWgw2tenxF8/zlO1MkZiVyIouqyAR9OsgqaSOLLWqrsi2eFk53vkVPoGcusj8G\nlCPbjrC5GP8MQxh45YUrpqaw+HrXv+buaIrBB0n+7myKTGFmwXYAAZ+KEOD1KHg1pSr03zq27bkR\n/fUdZhVFRlXqhL2y+jScJ8V6aAuXzYEr/F0W8PG18epScjHwAFvNoVgBAskDDTel8+MXcRywhWhw\n5bk6e4W94X1lb34rR9FeugBoJDfCR+MfkbZqPtFOLozx4BAiV07jOdEfZfd2/9J5+ZKEV/bgU3TU\nx+gOKctzUX1NwaO5TbRcXJ4XFkuZWW1+/3K1Aivtt7KW1KPKSsPgzDDZUgEhCYRsY9sqpZIFci2w\n4pW9vNz+Ci9ED1f99m+lyvUAsiQjUXPosWyrKvyFA8V0gEIihJGM8b/99PMli3IrDbTaIz7ujqWe\nWp78Wr3oV4oksTCnfomiWReXp4Er/F0WUHEH8ha7GuzjinUC2HEEE7lpHGdhFD9hJLAci6yZaYgq\nzSdjpPnxyBnGzQfVMWFpmCN9SIkdHNkT5vjBKK3RZdJ0JAmf7EVX9TV1h5QoLzlXIvtuCo+Ly/PL\nYikzq2Epwb6afiurTT26NTPAP937AXmrQNpKUXbYFIAEWrHBnvNQ9AVeaXsVXa21VJQlmZyVXZDS\nAyAZAdJTreRnQxSSQYTdfJ7sjOn09UbZv0hRbiVP/sz9q3we/5i/G8ugj4U42X6St/YcbXrM9WAx\nL/oKK3kgkGUJRVqYgiPXiXwXl82OK/xdFrBcBX/JsEnlDSJalERp4Q0urIZJmalFvfkLhsEP7nzC\nA/sayOUHAyHAjvfgSxzilX3tHP5KGJ93aQEuSTI+xYtP0VfdHVJVpLLQV92ovouLy/qylGBfqt+K\nEp5pqAvYHuwmXpimULLJFsxqzdUR/4EF+ztCcGb0PCXLImPU9UaRRINbj1KK8q0DP0e7r2ZDWd/P\npMXbSqI0i2PLFJMB8okQhdkwZqG5McJainLP3L/Kx/EPq68LpKuv1yL+B0eTXDtzn8mZ3KLC/dLt\nqab7/vTyKCWr/P2RgNlMifcvjuDzKBze3drgZ+/eJ1y2Aq7wd1nAYhX8rx/uIpEpUTLLYv1Yy3E+\nHP+g+r4QAgeHfeG+pqI/k7M4O3ibB9JF8ObmolHgZCPEMsd5ee8u9p5evutircuuF2mFgr/iwOOZ\nS99xl1xdXFzWk/piXo+iUbCK6Gqj3eFr3S/x3z9PNd1/tPCA792/V30dL0wTL0zTrezlSmIIWzVQ\nrCCe5C4ujAl69Gn298YwLYeSaZEsZJjIxRFCYDv2nOCv+wAhIVk+tuXeqIp+aU7w+5TyeU7M5pEn\nD/Do4STFVADEwnlSlqCnI8j+3nLkfi2dcj+Pf77I+OVVC/9KJF9VJBzRGMmvF/+JTImKbpcApHL7\nsclEgbboQle4z+/Eeelg56rOxcXlWcAV/i5V6m9c4f4AVryH4kwLbREvL/V30Nnir4p+oFrAe3X2\nCjOlGUJaiAORfnYEdwDwYDLD9bvTzCRNSk4Jo+0WSqwWdRGWRkfpKG/vOUbRM8Wt1MdcHU4T0sL0\nRw5Vj1NhNDfKnfRt0kaKmLeFYy3HG4qI56MqEr65jrlu+o6Li8tGcWtmgP934B/ImXksx0KVVTRZ\nQ5M0ZoqzWMJGRuH/vPBPZPI7sVNtSBJ4VJlI0IvuVXFiwwAUrGL1OBIKo5ki5sArKOFpnO57lNrO\nAzZ/eV/CP+LDq/ho9bZyMNKPhMR0aRoHp9Gec+5fgUNKTPA371vE/AGO7OpGiByDo2MMjqbqeq+E\nGq4v4Jc5tKONvp4Ie7dH0L2PJx0KNO8CXxRlG9NmufjQPB2nPpIvzf0lSXD17jQvH+ysetdvaws0\nXclerNPwk2hONb/Wo6cjyOhUdtnaj2b7ui47LivFFf4uwEIXCkPOIDpu8fMnvkaPvpt59btV9oT2\n0Kl3Vv2cK9wbT/OTCxPkCw60PUDddh9FnqsHENDm7ONnd79JLBCo+kNXSBup6usdwR0osspEfpyL\n059Vt0mUZqurDfXi36PKVccI14HHxcXlSfDeg580eO9bjoVhm+StfLlAFmmuM+4M6o4c4uEhnHQb\nJdNhNlWkJeJDD5QoWAapUhpBeQXVsk2ELwntg4i2MWxPEUmq1FUJ8naeol3EdixGcyMUnUXEqpAA\nCeEopJhAyoWZjivcvHev6eblotxQOR9/rih3PdNcdEIUWNgTxieFm+bif+/jIQTg85Qly2ymxI/m\n0nHSOQNVkdBUGakupSmRMfB6agGfxVaye9qDFM2FtWgb3Zxqfq3Hg4kMVwaniYW8+LzqkrUfl+9M\nrbhOxMVlPq7wdwEaXSgq9pyOI/hs4nO279rddB/LMcmYWZy6At5cweLqnRQXvkwggtNoB28j+/LV\n95VSlF8//gsEnXB1rOIiMZ+B9G1eiB3Go3j44NH7Tbe5OnuFg7H9+LwKD7L3+Wz40op9s11cXFzW\ng7Hcwrx9R9g4QuCRtbKPfSXlXjNQ2kdx0m1z2wlCfo3WYCuDqbvVAItdaXQlZOT2EVDK6Ttzpbq1\nz8EhY2UQ83x1JMo+/Y6hI6U7sWbbsDJRcNTqnvVUinL7eiLs6gpvaKfck+0nG3L8a+MnqhF8iXLk\nHkkiXyo7EQV1reEB5PM7cTpb/EwmCnPjte/BfOG+mBc98FSaU82v9cgWyqstmYKJr25F5eNr4wvE\n/I8vDC96TFf4uyyHK/xdgJoLxXx7zoSRaLp93spTsGqCfmK6yOXbKe48yCC0PNqeWyixeG0HW8OX\n2o83t43t4S5Sydq+GbMx8iNJEjIyWStXbbyVnHce5eVZyNopWiM+bs0M8M9D71bfX6lvtouLi8tG\nUC/DhaAmzCWB7K2lnCiKRMmweTF6jNuJOwv2l20PjlqcN0qD+q8X/X45iJTpoJiIkpsNIIqBpucn\nzdU96V6F/+UXDjOVyHPp9hTvXxzZcJvNSh7/5fhlCqTRpTCvdZ/i6/0n+U83LqMqjek3lQZg81cd\n4skiv/TW7hUL96W86J90c6qKe14Fy3Ya/q1tt3AVZ2Imt8gxNz49yeXZxxX+LgDEvDGm8tOIefk8\nMU+s4bUtbLJmFssxsR3B4MMsl2+nGI8XQbJRt91H7R5Cqkvr0bK9+FL7kITW1PEhpIVJG6mq4K9M\n7vWfHfPESBgJ5DnBX5n/2/Syrd1yvtkuLi4uG8X2YDcP0iMLxstR97JGF3N/IySckj73frlLayzk\nZW94H93+bUwVJ7HnagKwPEioCMdGSFZ1H5pk3Yh8CHNsL4VkR9OiXBDI/ixqOImmG4TTLyJJEq1h\nL1OJ/KJWl48r/lVZQlVlNFVGrTSpkiX+zanX+De8tmD7jph/QS7+Ymmb7VFfVaBfujPNyGRmTcL9\naTSnmu+epyoyluUsuNZmKUddrQGGJxamSm10epLL1sAV/s85hlm2iTsUPsJk7oMF7x9tOVb9umQX\nyVk5cgWL64MprtxJkc3bgECOTqHtvN0YySpF8SUOopi1tJ7O3iL/OPA9ZvKz1SLeI7GjnJ/6ZEE0\n51T7CYK6hqbKvL3zVf75/rvMp9JRcy2NblxcXFxWS9k1R2DbAtN2sGyHV9veYCb/L+TtPLawUSQF\n35yjT9EuIssSwhHlyL/pwY73ACDL4Pep1eLV051vVmuXirJN2jQQCDzZXozAaLn51jwN7ORCGA9e\nQOQWCnTFW8IbTRFszSMHU2RL5flZnz1cnW9PHexY1Ory0u2pFQt/SSrXBqiqXP5XkVCV1VslN8vF\nD+la0wZhlaj+4d2tvPPyLuLx5kXDm5H51xnUNZKZEiFdW7DdfL728g6+/b0bTY/p4rIcrvB/DnGE\noFiyyZdMrLk80nqHnoSRIOaJcbTlGHvD+3CEQ87KMTad5vKtJLfuZ2tLr94c2s5bKNGaZ7Wu+Hm9\n43U8hW18mZslbRqEAx46e4s8sK4iIyOEIGOmuTR9ga9s+xpf2fY1rs5eIWUmadNbeH37S7zQWvOq\nfqH1ADLSoh01V9voxsXFxWUxHFEW9rbjYDsCyxbYdvlrx5mfTQ+7gnv5Rs/PL5g/AT6ZPMtUcQpb\nEohCkOLYbsi04tFktrf6+ZkTPVVxXT8PzzKLHgxgzXaQL8rY/ilsuRZYEaYHc2Q/9vR2KksAigKB\naBEtOktXp8zXDp0kmy3NnZdMxNOBFd9OqdhCLFxL53n/4sLVCihbYDZDlsoRak2VG/5dD5bKxX/S\n6Tgbyfzr3NUVoudI95yrz9LXeOJAB6m392yp74fLk8MV/luEeivOxQpbTcuhULIoGFZTh5694X0L\n7DGLZpGrQ5N8fivB6GRd/qBs4+u9j9wxhJhzmZCQeDF2hJfaXsareCECu7tq0f73xsoR+0pXyEok\n6HryKv9z/6/x2s4Xl+x8uFRHzde6X2pwJaofd3FxcalgOwLTcnCccuTemYvgl1+Xxf0ivQcbuJe+\ny5XZL0gaCaKeGMdajvOtXf/jgu2Wshxuxu7QHgpWgUuPviQ+7WBIw9hdE1XHGuFIWJM7sR7tBVuj\nLeqhryfKwR0tC4pyp8Ro4zl2HWfvoYXnEwt5mUkvFPmxkBdZAk1V0CqRfFXa8D4oi6XebDVh+zgp\nRk8jPclla+AK/y3AfCvO+sLWgy19FA2bfNHCnFc0tBT5osG5m2NcujVDOmfVvSPwdI2g9QziyGY1\n8rVN38abXW/T6m0+EUl1reAVSQaZcr6+DGkr+di+0JUHgsVWBFxcXLY+1TScqpCv/WvbDrYQGEjM\nph+vCPJe+m5D88LF7IVXg2Ha3Bmd5tL9YYYeZRFBBa3nHpJmVlP67VQr8qMX2Nvawe5XAhzc0UpH\nONz0ePfSdzkT/ym2ZS97jqcOdvDehZFy/RRzRbQSfPVkDx0x/5qux8XFZXPiCv8tQLPCViHgzOhn\ntMg9K4peVZhKFPj4+hhX785gWo076l2PULYPYiuFqhGcV/byZudb9IX3N83lrHSG1FUf7XobCSNR\n9luuWyxfr3ScpVYEXFxcnm0cMSfi7eaRescROKuY6x6HK7NfNB2/OntlxcJfCMHEbJ7B0RQDIwke\nTpRTKOVgAm3PLeRArXhTGF6kbDtvbD/KsZd3E9B0dEVfsnP5cucoyxLaXJrOK/2dRIMePrk+4aaO\nuLhscVzhvwWoFLaWXTjLNz8hBNOF2RWJfkcIBkaSnLs+zt2xRqcAryZzqM/PWOgnZMQs9W1OdEWn\nW+9mf+QA85HnBH/YF0D3qvg8Cm+LV910HBcXl6Y0Ruidcl59XaR+NQGMpbg9c4ezD883pOisNkqf\nNBKU7FJDMa9f8S9qf1whXzQZHE0xOJqc1ykX0IpouwZQ2x5Vh4SQkB0FxWMhtUxwXxjsMiK068sH\nOJJGArku775igZyxkrRHfQvSdV7c08aLe9pW+B1wcXF5VnGF/xZgpVac8ykaFpcH4py/McnMvKXv\nlojGsQMR9M4pPpt5l5yVrb6nSRpBNYgqq2TrxgFkSSHo0Yn5g/i9GrJcWwWoROMvJ64wlpx8JtNx\n3DbpLi6rp2m0vq5Y1m5SMLsRrCb9ZSlUSSNj1vqU2MIm42QIaaGG7WxHMDKVYXCkLPbH4rmF1yk5\neLofoG67h5BroZWKtbGkAEgosoIiKVxPXKMvsvycGfPEyDgpkOUGC+R2vXXDc/RdXFw2L67wf0a5\nEb/NJ4/KxbyqpFK0iuWC2jrqrTjrmUkVOfflBJfvxCnNa1W+e7ufE/1Rwi0FPp76KaOTo9X3ZGQC\nagCv7K2m9YS1CACqohDTQ0T1AB5NYTH6W/fz1sGTz5TtWoX5LdbdNukuLnWivj6ffg3Fsk+C9UjR\nWY5EpsTgaJKBkST3xtIL5tgKLVGNtt4kM/4r5EWm+kAQ1sJISGTMDPbcGquEhC6Xvf8XW1WQoFyA\nq8p4NYWf2fkqPxx+H0s0fv7jrrCuxEjCxcVl8+IK/2cIxxEUDYsb8Tv8aPT96rgpDAA8sgdTWA1W\nnFCOcn0x8wXjkyb5R92kpvWG43o0iRf2hjl+MEIgAB8Mf8LQ0E2QKi3jJbo8O7Ck3II8/iNth9kW\nbSGqB1bt1/ysMb/Fev24K/xdthpCzCuSnRP4DSJ/HVNwngTz018qJIwEg6NJLt2eIpEpLehcey99\nl48nzzJVnAQkHGGjoGHYFrYtEJk2yLQxkIrxZ8XmDxc+j8LObTo7u/3E2g2uZM4xnBuuNuP1KT5e\naXuV/ughvpi5zIXpz4Cy6JeRKdrlVVlJkvi/B/6KmCfGqY5THGrdj6bKeNRGz/xDrQeIRv28e+vM\nuhkeLGUk4Yr/rYG7qr31cYX/JscRgpJhUzTsauToYvzzBdt5FS9BLbTATu727CA/uHqV1Fg7Zr6x\nq180pHH8YIQX9obxaBJ3M4P8/d2zlESh2hnSyUZxHu0joUQ4ckQiIT8kY6Vp8UV5bdspjne8iLxE\ngdlWYn6L9dq42ybd5dknkS4ymy7OFck+uULZJ0nUEyNtpxaMq1Zg0c61cniad0d/QMYsr1IKAWbe\nh5Vsw0l24OQii3bK7WjTOLSjje1dHjpaNCxhcmnmIp9MXMWhZoMc1sJossZofpSYt4W0mSqn6pi1\nlVEHh6yVpcUbQ5ElMnaSD8d/TEjXFhXdR7sOsU3prUbpv3//Pc6PX1zzA4DbIX1r465qPx+4wn+T\nUjJtiiWLomkviKglF1nqrV8CTmRKfPrlBOduxrGtnobtfNE0nTtz/PKR00iSxExphrMjZ3iUH6tu\nIwwvzsQeRLoNkCgpFrMTEX79a7+IrvkIqH4UefGUnq3I/BbrtXG3TbrLs0++ZGFYK7f8fRY51nKc\nM/GfLhi34tubbn/p9hSefVfJFg3MZCdWsgUr1YIwm//OS1qJYGsWvSWDN5ImFghyctsuhBDcSd/m\n/NR5Cna+un2rtxXHcVDl8q04a2b4LH6eklOqpm4W7AKWsECAIskEPI0rtsuJ7vWM0rsd0rc27qr2\n84Er/DcRlu1QNGwKJavaGbcZUU+MRGnhRBvVYtx/lOb8jQluPqw4+pQjUZLsEOicJdQ9iRYogiRh\nOiYXpz/jWuIa1dI6IeFM9+BM7QBRE/a2EKTTgja95bkT/BWatZKvjLu4uGx+9ob3EQr5+Pjhpw0d\ndt+72fhAL4TAsBweTGQw4q2UMj1Ul0HrkWyUQAY5OoUazCB7TNqiPhzhIBCkjCSThUk+njzDZHGy\nultQDfFGxxsMpgfJmGlkSUai1tTQcmx0VSKg6ASlstCfyE1VHxDqWU50r2eU3u2QvrVxV7WfD1zh\n/5QRQlA0bKaTBaZTK/vlOtZyvKF5jONIZCdjJKd28nnyZsO2Hp9FsHsSf+c0smZVP1OWZP7m/n8j\nXxd92hHYgfVoD4+my0v91XRRR0WxvXSFY8+t6IfFW8m7kRAXl2eHg60H6JAaV0FjoQEmEwVKpk1p\nLq2yttLa2MBK1rPI4RmU8CwexUNo+mWy4VFszUCVyw4/AI5wMByT7z78u+q+iqRwvOUEx1tPoMka\nV2a/qHYyh0pTQwld8qDMOaIVrBI5M4flWEhIFKwSulozclhOdK9nlN7tkL61cVe1nw9c4f+UMEyb\ngmFTMiwcAYpXW3L7+e3hD0b6GU1OM/xAJTveimUqUOeyv7s7xGsvdEFknI+nrlbHLcciY2XKS8dz\nhNQQb297m0OtfQxHM3w/8YA0k0jRSSStiCgF0Au7OX3kyLp/H5413DbpLi5bA8OyGXqUZmA0xfBk\nllTOaLqdxyOhhKcRoUnUyCyyt4QjBMLw4ZvpQ0gmWr4LO5rC59MQQlCwC+TtPPUmpXtCe3m9/Q3C\nnjCypBBQ/bT5yk0NK13MK7GWnuA2Xut+ifce/qQa6Q95ghSsIqlSCsPWMR0Ty7HwKl5uzQwsGr1f\nzyi92yF9a+Ouaj8fuML/CWKYNsW5iNJSqTzzqW8PLwSMx4vcHs2Rn97WkP+vKhJH97bx2uEu2ls8\n5KwcttPFK+2v8WXyBhOFcQp27WlekRRe6TzFW9tfxaN5ANjfG+PVU+OcGR/BNAUg4Q0WCXbdRwkf\nAlzR6+Li8uwhhGAyUeDS4DTXBuI8mEhj2c3nYb9XZf+OKK8e6qSnPchQ9h6fTE4xVbQBlQ5fBz2h\nFxnNyqSsIm1qF52xKGPOTSaLk9WoP0DM08KbnW/SE+gFScKv+Ij4QowUhiiJPNPFOKqsEtAC1Uh+\nRUyfH79IV6CjeiyP4iFdypAxsvhULxFvhJJdWjJnvxKlL1hFcmYey7FQZZVj7S+u6fvodkjfurir\n2s8HrvDfYEyrHNkvGjbOGm0yrsx+gXAksvEI6bF2SpnGpWe/V+WNF7t5qb8Dv08hb+VIG2XnCiEE\neSu3QPTvjezhm7u/Qouv1uRLlVSCngBJeZTulsCC83CdG1xcXJ4l8kWLu2NJBkZS3B1Nkq7vlFtH\nJOChrzdKX0+Efdsj6N7GW+Pe8D72hvcxMJLgwsAYiXwWEYDDe2Ps6gyRMlKcm/qYR4Va111VUol4\noshIfJn8Ek1ROdV1hJH8MP80+F0eZkZQZRVdLUfvU6UUUW8vX9/5leo8Oz9NR1d95MzySkKb3hix\nX2x+7m/dz3BmlB8Pf1QV/QEtwJX4dXaEetw53aUBd1V76+MK/w1gpUW6KyGTN7g/oJF+1I9tNKYD\nyf4MEaUNn0ehpyOAqlkkjQxClJ054sU4Zyc/YqIwUd0n6o3wjV1fZX9sb3VMkRSCmh+fWs7j26zO\nDW7jGBcXl6WwHcHoVJaB0SSDI4t0yqW8Orq7O0xfT5S+3ggdUX3JPiRCCG6OTPLjK0PV/ibJnMHZ\n6yPcKcR5ULrZEOXfEdhJzswiIyHLEkUnx8WZTzHlHFfi16tzrOVYWI5FxBtBV72EPaGGOa1Zmk5F\nvM9nqfl5LDu+4EEB3GCOi8vziCv81wnLduYsOG1M+/Et8cbiWc7dmODavRlsp6v2huSgRmfQ2ibQ\nNAl9qgsh2ZwfGKKlrReAol3kQvwzvkzeqOaYqpLKG9tf4fVtL6HJ5QcIRZLxq3501ddw09uMzg1u\n4xgXF5dmVDrlDo6kuPcoRdFo3im3I6bT1xPh5KEuWgMeNHX5/iNCCEp2kYJd4NLd0aroFwgsfYJi\ndIBMsVRawvJ+AAAgAElEQVTdvkvv4s3Ot7gy+wUlR0GRZRSp1ljr7NinhDwBLMdq+JycmUNXvQvE\ne7Ni2krEfj5Lzc+bNZjj4uLy5HGF/2NgWjYl06FkrI/Ytx3BzQeznLs+wcPJTMN7imYS2jaDERhD\n1srL1Z7ZF3CUAkK2SOXKN6lbqZt8Gj9f7fIIcCC2j5/b+Q4xX7kLpYyMX9Pxq82jXJvRucFtHOPi\n4gKNRbmDI8lF3dB0r8Le7RH295RTeCLBcv58S0uA2dnckp8hhKBoFynaBZy5FdT0XPGvraUpRm9j\n+5LV7f2qn9fa3+Bwaz+6V+WT+Fk0RUGWZAolm2zBxLQdbC2LKnyostog/itfzxfvzYppj7W/yJX4\n9QXnvNT8vBmDOS4uLk8HV/ivkkpjrZJpr1tny3zR5ML5B3x4aWSBs8S2tgCvH+4i2J7kRmqSu3EH\nuxTAm+1BMYMIuXzD8IbzfPfhf59rKV+mxRfl6zu/Sl9sD1DuEOlXdfyavmS33c3o3OBGrFxcnk8q\nRbmVqP5iRbmSBL0dwXL6Tk+EnvYgsrx4+s5in1WJ8FcEf4VAEKa0m5iB0Zr9jpAIF/fwb1/6OhFd\nR1FkdNVHl7+d6eIMhZJNIlNbEZBsD4lMiUDAh0W2Ol5J3Wkm3psV0+4I9axqft6MwZyV4KZ3uris\nP67wXwbHEZiWQ8l6vALdZkzM5jl3Y4Irg/GGG5kswQu7W3jtcBc7O0NzUfl29sf6uKXE+dEX90By\nQBKUrCLF6CDp8DjMBb5UWeXN7a/yWvdLqLKKBOiqTkDzLxD8N4Zm5ir4C/haE6jto5hybtNNsm7E\nysXl+SFfNLk7lmJwJMXgckW5PRH6eqPs3RbB71v7La1kl8hbeRzRmCrkCIcvkzeYbPkUS9QCM2qh\nHX/yAD9/6iAtwQCKpBD2BPEoHl7f9jLfu/9DsoXG8/Zl92DoYxglmUgwXHXZ2R7sbijqXY6VOutc\nnbjJu7fOMF2YxSt7QQLDMdclmFN/72iP6uvu/uKmd7q4bAxPVPibpskf/uEfMjY2hmEY/PZv/zZf\n/epXn+QpLEulY2PJtDEMG2sFQn++x/6xluPsDe9ruq3jCG4PJzh3Y4L7j9KNb8oWWuskobYc27cf\nZVdXuHrsRGmWoBbiQPggB/otbiRuUJASCMVAkmvnKCwFKx/mwmSB69YtfNEs3tYpMiKB6ZhoskZv\nqOwRbadbq569Jd8Ek+plRMoA2WE0Ncnd2WF+84Vf3hST7LMasXJxeVo8C/NthfUqyl3NXDw4muTS\n7SnGZlNYFFFU6IjqHN7byq7OEMPZYS7PXFpgz4mQkS0/kqdIYdsF/nHiIr7JIKWigmWb+OUIfYHD\nyMl+cqUvkb0FVDtIoLAbb7GLkhGjFHiAPwaapJE2Mwylhvk/rv8X/KqffdFdC0T5akR2JUo+knlE\nzsrhV3V01UfJKa88/MKeby47py/3ef98/gHvfjaMZTsokRmmGeXW7Ty7pjr5xr7TK75nLPU5K03v\nrBwjkTXm+tSX7+Eb8TDi4rIVeKLC/3vf+x7RaJQ/+7M/I5FI8Eu/9Eub4kbkCEFpznLTsOwGb/zl\nqPfYB0iUZquv6284hZLFpTtTfPrlZMPSL4Cs2sgdQyiRaSTZoShLfBz/kFlrkrhzHwcHIQTJUoKz\nk2VLNtNbAmHVVpwdCWF4wFERaomMeodCNo0sTyNSJpKniDx3gxQ4xAvTyJP9QNnOMxO8iaOU7T4l\nIWFLNikjzd/ffo8/euPpC//NmH7k4rKZ2azzbYVktsTgSJKB0RT3xpYvyt3fG2VXV3jRotyVzsVQ\nFv3vXhyiaOfJGnPzsVHuk5K8Ns7o/rvcKV2qiuUKuuLDq3jJSFlMbBQhY9mCopgBWUYRfjJ2kouJ\nMwSSh1FmTmLpkzitozjhGxQDD/DldtHnvMPutineffABjnCwhQMC0kaau8mh6upmf+t+bgzNNDRV\nmkwUqq/ni9r6KHnWzGIJm1SpHGDS51zblquLWu7zbgzNlEW/5UAojui8gwkoQmYsHV9xVH65z1lJ\nemf9MUzLYTpZvodFQ16cJb5PLi7PM09U+H/jG9/g61//evW1oihP8uMbqBTmGqaNaTlNo0sr4crs\nF03Hr85eYW94HxdvT/LRlUck0qWGz5CAkF9DUxWyHZ8heWvFZo4ACcHNzBe0+IN14w4ZM4NDXe6p\nAOHIIABn7r9TSICEFRnBg44jl8ARyEpZ+OfMPLrqY0LcIcyr5WN70nWHFEhzjxSThVrNwNPGbRzj\n4rJyNtN8C7Wi3MHRcvpOPNm8KNfnUdi3vSz09/VEiM4V5S7HcnNxhZJV4vzAEI5aoFBsrKkqmiVo\nG+da/l4tj5+yA5okJATlol9nrkt6OSgzt6EkcOQSwix/n/OBB/iBXPROeVtHwlaz5CI32Lmjm7Nj\nn5bH59USZM0cEW+oKtA/vjbe9Lo+vja+QNDWR8ktxyoXPlCb82H5uqjlPu/ja+NYc2YWUuto9X3H\nEVWTi5WYLiz3OStJ76w/RrquPi5bMKu9GJp9n1xcnmeeqPAPBMoWZNlsln/37/4d//7f//tl92lv\nD63LZ5tz6Tslo1yYK1QVjwoe/fGOm72XRlEbb6hCwPiUzV9e+5LhiUZ3HkmCo33t/PJX+vi//vE6\nQghy3nz93iDKwtuWSshquNwC3iqQNbINLeBloSGZXiwlP2czJ1VFP4Ckmki2Xq4HEFRvArawUVUF\nRS9Uo2flo0rVv6Xa2azb/0E9G3HMzcrzcq3Py3XCs3Gta5lvW5o07lsrQggexXN8OTTDzaFZ7o4k\nq4KxHkmCXd1hDu1u5YU9rezsDv3/7d15kFzVfejx79167559kTSjXUICgYUQEghJLLZBjg04Kcf2\nc0quV8QGErwlcQpITEJimdivUq8qleBH8EvqVeG82C7jOOa5MMbGQRLaQALDaAOEpNFImn3tnl7v\nPe+Pnu7p1uzSaKaX3+cfNLe7b9/TM5z763N+53cw9KlLbV5qvL4YYMgZoLraTywVYzgZZSAxzFAs\njqFr6X1WNACFFuyBxlPEXaOj/JZuUekJ0R8bBA1s5aAx0p3m9ZIj/9VGBpE0DWUNo6rPYeo6tp3u\nuV2WQcjvotf9AcOp4fTzLrleRzmYpsFAaoC6uiB94cS4sxz9kcSYv8P+VD/myGdgGRbJkeA/0+cD\nNAbrJ/37ner9+sIJXKZBMuWguYez9xUFuEwj79onM9X77Fi7nX9/+z/HPL5j7fbsuXPPkUw52bQv\n21bZ4+N9TqWgFNs0kXJq61yY88W9Fy9e5JFHHuFzn/sc995775TP7+oamvI543GUIpkcCfaT9hVv\npDWRgBGiL54eQXFSOkMdVQyeryUZ9QCj124aGn6PhddjYqdsDMch5LNoT7aCFQcjmQ7abTOdrqOB\noVzEE3HCqTApNVr6TUOjylOBsk0GkwlQOukvDLkhO6iUlb6pKB10h0wOk6GbpFI2C4K1DLaNjNzE\ngijvSHm6nJuRz6m67N/BROrqgrN+zkJVLm0tl3bC1W3rbN/gZtrfTlXmciqzsSh3oD867mumktsX\n5x13VfLBxbZsnn5FpY+Ax6Q/kkgH/2YYfcEp9MBoeU5N6YTc/uweJ4amYzt2tvqOTmok+AeV81UA\npad/Ugot6SfpDaOhYRoalqlTW5GevTjf34HP9BFJRrKvztA1nVTKps6b7nurAi46+sZ+Jg1V3jF/\nh5VmZXaU3Gf6GEgMglLZPh9gQ9X6Sf9+p3q/qoCLwXA8nbIa92VnqzVNw+8x8659MlO9z0Kjmd9Z\nfPeY9M6FRnP23LnnsEydRDLdRtPUSaacCT+nYif97eyct1zNaeDf3d3NAw88wF/91V9x6623zvr5\nkyOVd5Ip54rSd2ZiffWN/PKDPQycr2WovRpl5484uS0Dv9fEbRnZ0YhMjv+i5VFOd7WMTCE76buI\naaPZGgqdgOWjPzl6I9PQ8Bhu3IYHpTSizhC4bDRH4aRM8uamAat/KVR2oDtuNHN0Wt1v+QDYsfI2\n7Pr01G14YC3D1ltgJgAHTenojps7m26f9c9MCHH1Xe3+FkYX5b7X1s97bQO0dYZnZafcy7G++sa8\nHH9HOTjKYWVwVf7iXGDdihr2vNOKueADqDhH9lKUhieyhI3NKzmVeDv7fJ/pYygxRMCVnhFJxlLY\nyh6pkqZwVHrgRXfcKF3DthW+yFJs6xy2mS7bGfCO7rxe66nmQ7XX8Yszv0bX9HSO/4jAyOZcmcIF\nW29YkJcLn7H1hgVjjuUWQfCabgyjksHYEAFXgDpv7bTWRU31fltvWEBHX5QqYLB/MarxOBoaIb8L\nr9vIu/YreR+YOr0z9xwhvyub45/7WY/3OQlRzuY08H/mmWcYHBzku9/9Lt/97ncB+N73vofH47ns\nc8aT6WA/npzdUptTUUpx6vwg+1pSnGtdm/eYacLGaxroHYgRjqXGvLYqmB71OZV6Iz1V6qTQcvJE\nNTOJrsOgMzr65jU8NAcXcXPjBi6G29l38RC2Y+M2LfyWj0gsRSxpYpNCT/oJxJbjTy7EY/diVp9n\nSHWTsJNYhkVzYOHoDaAms/BpHS8eXcSetkMMO4P49BDbmjbxses2XrXPUAhx9VyN/hZmvih3VVMl\nyxZMvCh3tmTy+I/0HKY33kvICrGmYi2LA4vznucoh2F3K/Hmfdgqnh0u0YarMbtXY6gAnQS4ZslN\ndKnTDCQGWRpqpCm4kPPhi3THeql0VTCcGqZvZOGsR/MTj+oknCQ+I8Sq0DriTjVtEZNYzVECXisb\nFAN5Afie8wcYSqZnBvyWjxUV+VV9jFAPobXvcH6wCxX30cg1fOy6m8bNW7+0CMLyqsVsqFo/o7VR\nmfOmq+3EqKv05FXHyX98CR6CmHXnSRrhGRVdmOp9Znqt/ZEEQZ8FSpFIqcs6nxDlQFNqJjVs5t54\nUzyJkWA/lkjN2iZa05VI2bz1Xjf7WtrpvGSasjro5pbrGtm4pg6Py+S9tn5eOnRuzDk+fHMjSf8F\nfn7uhdE5Xi39ZUKh8hbv1ntr2bHsIywNNWeP/fT9n9MX6x8zYlbnreWBdX8we429SmSasvSUSzuh\nuFJ9ZuJ8V3jcVJ9EyubMxSHePdc/6aLc3J1yZ7IodzYopYg7caKp6Jg6/LkuDl/kvzp/TV9sNK0n\nYPm5MbSFlnf0nLz9dLrP725Zw40rGq/o2rKbUF1GNbJLa9lnTKckJ8j/l6VK2jo75y1XRbGBV7a2\nfsImNscj+xl9Q3EOHmvn9ROdROP5N5YVi0JsWbeAa5or83aKXNVUCcAbJzrpG4pTETS4blWQ+jqN\nl86/g67pOMpJB/sj/81wGy7uaNrKxob1GHp6pCizQcxAfGjcafLuWK/sdCiEuCIz2Sm3qS6QLbW5\nqC6AMcOdcmfjWifaaTdXJBnmYPd+TgyczDuuoaGU4oO2MBoV2eO6Y6E5bg62dF9x4H8l1cimW8te\nCCGmq6AD/2g8Re9gbM7y9S+llOJM+xD7Wto5dqY3r76/ZeisX1XLresaaaz2TXiOVU2VLFvoZzgV\nJemMlhsbSg7i0T2EnXB+eU5gWWgJv7vydwi4Rkt5+kwv5wbP87NTL2YXb/ktX7ZEG4BLs2SnQyHE\nZXnjeAdvHu/gvfMDeaURc4Uyi3KbKlm56Mp2yr0SSqXLasamCPhtx6Zl4Lcc6nqdpDN2obFSikhy\nmIj2Nv7ErXgsV3pNlEq3a6LZjctxOTvdTqeWvRBCzERBB/6xeIpEauJO/WpJphzePpVO57nYM5z3\nWIXfxS3XNXDzmnp8HmuCM6SlnBTDqeG8gD/D1EwidiQv6NfQqPfWsvPaT+c8zyDoCnKq/zQvnP4F\nAH7Lz0B8YMzGLGgQjduEo0mStoNl6AS8lowOCSGm9L//s2XMsbxFuU0V1FfN/qLcmVDKIWbHidpR\n1CQBv1KKC7FWdrfvoS/eP8GTcv7tijA4qNC8Lnzu0dtiXeWVrYfIaDndw/89uI+Y/wx2fZi+VIDW\ng0v5HFsmDf6nU8teCCFmoqAD/7k2GElw8FgHh453ELlkUe7SxiC3rmvk2qXVU05nJ+wEMTs67ghT\nOBlmX+drXIheyB7T0KjwBPHobj68+I7scZ/pJWD50TQtb8rXa7qBCiLJCJFklMXBJm5dcDM/Ov7z\nvF2BkymHvqE4mtY5w09CCFGu5npR7nQ4yhkZ4Y9NGvADDDuD7Gnfw6nB09ljXtPL9TVrOdRxJH3g\n0ilkDUi5iURT+NyzXxHmxaOHiVSMfrHKbOT14lE365bdPeHrcqv0XHpcCCEuhwT+wLnOIV57p52W\nD3rTZdlGGLrGh1bWsmVdIwtrp97YJm7HiaaGsZVNa7iV4wPHGEoOErRCXBNaQ1+ilzd68qecK10V\nuE0XCysauLYiXR3oJ+/9PwbjQ7gNF2iQsJN0RbvxW/6RoD8d/HtNN5qmZxf0xiO/AsZOTcfDc7fI\nDpB1BkIUoZ0fW8uCKs+cLsqdiqNsonaMuB1jsjoUGoBhc7jndQ51HMmm/2hobGxYz5LQYl67sD+d\n0z9O4qjmuKkKuglHkyMloW2Ugv/z4gksU6d64RBmXRtJPXJZfVo7o2sLHKVwnHQhhzOJY7ScHr9C\nD4yt0jPTxcGFRu4NQsy/sg38U7ZDy+le9r1zkbau/EoWQZ/F5msb2LS2Ia8e8EQSdpxhO4rtpGcJ\nWsOtHOzaT8JJELWjdMe6OTX0ft5r6r31fHz5R2gOLgLSO2a+/sFR/uvcHnRNJ2bHaR/uAKDCnV50\nNhAfACqywT/kT/nqfc1QMTDm+vS+xWOOXS2XVqGQdQZCFIfbPrTwijfwmi2OshlORYk7cZgk4Ne1\n9G647w2d5JW23USSo6mZS0LN7Fj6YcKJCC+c+gXRVBRD00mNU/VHUzrxhW9QE1uOFqkHpUZnT4Nd\nhPX30Hs1qoJuuph5n6a5hyGVDvrt3N2LXcPZOvSTBf+l0HfKvUGIwlB2gX84muTQ8Q4OHutg6JJd\nJZvq/Gy5fgHrllVjGlNPbyedBMOpYVJOKm+EP5KKgIKYHcMhv1qPpVvc2bSdTQvWj2z+kmZqBsd6\nTmQr+OTewCLJCH7Lx0B8kEgykhf45075NnmX0TpAOo/UjGCk/HgiS2nyLp3x53S5pAqFEOJy2com\nOo2Av7VjiGNn++iJdxKvPknM6Ms+FnIFuXvJnaytXs0HA2d55dyrRFPp0ssaGjo6jqay59dtD7rt\nwTbDDATfxmuvY6h/tMKPVtOG4yh0QyMcTWbr8c+kT1sUquNMb8eYinSmnS7gsPftiyVfb17uDUIU\nhrIJ/C90R9jXcpHfvt+DndP56prGuuXV3HZ9I83106vrmnKSI4t2018cMiP8GbFUDJtxRpXQWBZa\nwi0LN+Qd95oeav3V9ObUlk45qbx/ZxbwRpJRNE0fd8o3vYthFHcsv/zc1s1zt3OhVKEQQszUdAN+\nw9C40B1hz7GzREPvkag7P/oYBrct2sxtCzdhGemZ2rc630k/phvYTrpPNg0TUzOwHUUq5aA5Xiwz\nXQihLxwn5j9Dyr4+e17NPZwdvEnmjNbPpE/bsXIrPzz+/+jqj4I28gVE1/BHlgGzWz2oUMm9QYjC\nUNKBv+0ojp3pZX9LO2fa8zeA8HtMNl3bwOa1DYT8rmmeL8WwPUzCzq/Sc3zgWPbfCScxbtBvYGAZ\nJuFkOHtMRyfoCuAx3eianlfBwdTNbPBv6ulfk9f0sDjYNOEmXbOxE+KVON7zLoOJISLJCKZu5pUb\nlSoUQohLpfvUKAk7PunzLFPH6zYxDPjBkUMMNpxA6aODI1a0gSbnBu5oXp/3ukxFH7/lYzBn/5NM\n31rtz0+dDEd1kiqCaeikRirKqbgP3ZOegbVyZoJn0qetrVnNZ9Z+gufe+BURZzA9Gzu4NDtIM1vV\ngwqZVCgSojCUZOA/HEvx+okODhztYOCSetQLanxsWdfIDStqp12tIj0aNUx8gpvTUHIQW9mEU2ES\nl5Tu1EnvBqlrGl7TS5U7vamX23ARtALZ1B7Ir+CQSe1J/9uf95zJrFtWMy9Txpn8zcyXlJSTyis3\nKlUohBAZSSdJzI6OGUS5lMsy8LkNTNPgVP8ZXjr7Ct3unuzjRjKAb2AtVqKGoXHKjFZ7KmmPdBJN\nxUY2SlToaASsALXe6jF9esBrMdhn4fNa2Rx/1dOE3vxe9vGMmfZpa2tW87nVNdmc/lyzVT2okEmF\nIiEKQ0kF/u29w+xvaeet97rzpmQ1Da5dWs2WdY0sbQxOuw71dBaYpZwUKSdFbyJ/utLUTGxlY2g6\nhm7gNb14TBc31l9P0Args7xjznVpBYdKV0W6qo+TLPhqDpn8zdxSo+nPxp729vJCiNKWGKnBn5vK\nOB6PZeD1mBiGTl+sn1+e+g0n+0YLJGiOiXdoJe7IYjTSAzjVwfxqRF7Tw7LQEt7tOwUwuqZK09i2\n6BYWB5vGBKJet8Hm5bdy1vGgaRqJlI2lNVPtVGDWnSdphK+oL57vWdn5VGoVioQoVkUf+DuO4mRr\nH6+1tPPBhcG8x7xug5vX1HPLdY0zKlE33XzTs+Gz7O3YzUBytJKOqZkEzAAu00Wjv44zA61EUzFs\nx+a66jVsbLwRS5/4Yy/WCg65+ZuZUqMAmqYXZXuEELNDKUXCiRNNRbHHqaiTKzfgT9gJXj13kP0X\nXs973Qr/GnpOLUR38lM0b1pTB4Ch6QRdQdyGiwuRdircowMRGhqapvHS2d/gM73pGQBNw2VYNAUW\njgai183+55AxX7OyhaBY729ClJKiDfxjiRRvnOjiwNF2eofyp2vrq7xsWdfI+lW1uExjgjOMNd18\n08HEIHs793AmPLpBjEt3UemqRClFja+ahf56jvedxO/y4nd50dE52fc+a/o+KMmOT/I3hRC5lFLE\nRwJ+Z4qA320Z+EYCfqUULd3H+VXrqwwmRtdmNQUWsmPph1kYaOS9qn4On+iidyhOddDNTWvqWNVU\nicdwE3QFsqP73dHe7EBENBVjID6I7TjYjp3dCKzCHcJtuGT0WQhRFoou8O/qj7L/aDtH3u0ikcxJ\n5wHWLKni1nWNrFgYmtG28tmUHnvyygopJ8WbvUc40nM4OwKloXFd5To21W3Gb3kJ+lyYps7z776Q\nvTJD07M3olItXSb5m0IIGAn47RhRO5rdSGs8GuB2mXjdBsbIotn2SAe/OPMKrUNt2ecFLD8fWXw7\n19dem+3XVzVVsqqpMvuc3EIJuXIHJDIlkh3lkHt3iCSH8Zqeku2bxdRaTveMpF9Fqav0lk36lShP\nRRH4O0rxftsA+1raefdcf95jbstg45o6brmukZrQzCojZHaFjNmxSVN6AM4MnWZv5x4Gk6PpRI3e\nRrY33E6tpw63ZRDwWdkbU1+8Hw0NQzPyvoSUaukyyd8UorxNN+CH/JQegOHkML85t5cjnW9nS2ca\nmsEtCzayddEt6V3MJ+A2XIRcwbx9UTJyByQy6wqUUhja6Exw5vh0+mYJEEtPy+mevAXXHX3RKTdV\nE6KYFXTgH0uk2H+0nf0t7XQP5I/G11R42HJdIxtW1+F2TT+dB9IdfcyOEncSUwb8A4kB9nbs5mzk\nbPaY1/Bya/0WrgmtQdc0fF4Lrzv/o6zz1tAb6xsz81DKqS+SvylE+VFKEbNjxKYR8LssA39OwO8o\nh8Mdb/Gbc6+lB2BGrK5awd1L7qTaUzXhuTQ0gq5AtmTwePIGJEbWIem6juOMXmemEtlUfbMEiKVp\n79sXJzwuv1dRigo68P/a/3yV4Xh+9YfVzRXcel0jq5or0WeQzgPpihIxO5bdeGsySSfJmz1HeLP3\nSF5az7qq69lUuxm34UbXNUI+CzNnHYGh6YRcQbYtulVSX4QQJUsph9hIlR41RcBvmTp+j5nXV54Z\naOUXZ39N5/Do2qAaTxV3L7mLVVXLJz2fS7cIuYJ55ZAnkhmQyJQcTqgkvcOjO/36LR8wdd8sAWJp\n6uqPTnC89DdVE+WpoAP/TNDvMnVuXF3Hresaqa8cWwZzMjNZYJZ5/unwaV7r2MNQanRh2QLvQrY1\nbKfWUwukb2QhnwtNH/3ykTvlLKkvQohSlA74Y0TtWF7Af6ZjiJZTPQxGEoT8LtatqGHlwgp8HhOX\nNRqgD8QHefnsf3Gs92T2mKlZVMZWoy4u4nC3DWv683L4AU71n+GtzncYSAzS4KubcX+aee6RvrdQ\njiJhJ7EMi+bcaj6TONsxxNBwkpTtYBrpnX69bnNWA8TjPe9mZydqvXLPmAt1lV46+sYG/+WwqZoo\nTwUd+N+wspamWj83XVM3JpVmKhPdnCbTn+hjb8ceWiOt2WM+w8eW+ttYFVqdTdvxeSx8ntHr0Ugv\nQPONjBxlSOqLEKJUTNannukYyhsRH4gk2P9OOxV+F6uC6QA+6STZd+F1XrtwMK+O/zLfKvo+WITj\npAOt7sEYLx06B5AN/k/1n+E353ajawa6ptEV7c7OqM40+N++5ia6uoamfnKOltM96aB/ZDffVMqh\nf6Sa3NLG4IzONZHMjETG5bZRzMzWGxaU7aZqojwVdOD/9T+4ibaLA1M/MYejHGJ2lJgdQ02Rv5+R\ndJIc7nmDt3rfzOaoamjcUPUhbq7dhGtkYZmuQcDnyhu9MjWDkDs0aW1+IYQoVko5I0UQohP2qS2n\n0rvpaoCuadmZ0MMnuli5qIITfe/xyzO/YSAxWhxhob+RHUs/zN6DEXRn7Kj54RNd2cD/ne6jYwol\nwNxVSdv79kWCObv5ZoSjyVkLEDObII53XAL/q6ecN1UT5alkolVnZNOt2BSbbuVSSvHB0Cle69xL\nOBXOHl/oW8T2hu1Uu0f/xzcMjZDPlV2UBuAxPARd/nGrSQghRDHLVD2LT2MQZTCSwMgJ+DM6o918\n//gRTg+OzqL6LR93NW9nfd06NE2jd+idcc/ZOxRHRyfkDjIQHxq3RPNcVUnr6o/icZtUAUPR0XSf\nkG5ZKGYAABFLSURBVM81awFi7iaIecdLtBJcISnnTdVE+Sn6wN92UkSnWaEnV1+8jz0du2kbPpc9\n5jf9bKm/jZXBVXk3GY9l4M8p1TmdahJCCFGMZlL1zGUZeFwG9VU+ugdHR+0dLUk0+D5xfyv9g+lz\n6JrOzQ03cnvTbXn19quDnrzXZtQG/dR4q9A1fd43CMzkgXvcJp6ctNOGqpmtOZvMfLdRCFEeinao\n2nZSDCWH6E/0E7enP8qfdBLs79zHD0//ezbo19FZX30j/23ZH+Tl8mtAwOsi4Hdlj5maQbWnUoJ+\nIURJSdgJBhODDEzRp2oa6dHvoJuQP536eNOaOgAUipjvHAP1u4kHzoKWPsfyiiU8dMN/556ld43Z\nZCvz2px3QLc93Hn9iuxs6kQVd+aqStpE6TyzmQc+320UQpSHohvxt5VNNDWcvjHNgFKK94feZ1/n\nXiKpSPZ4k6+ZbQ3bqXLn14ser1SnpPYIIUpVf3yApJOY8HFd1/C5Tdyusbn2q5oq6Yq3s6d9N3Fj\ndF1WpbuCu5fcyTVVKyfcTT2Tx3/4RBd9gykagpVsu2FRXurFfFdJm4s88PluoxCiPBRN4G+P5PDH\nZ5DDn9Eb72VPx6ucHz6fPeY3A2yt38ry4IoxNyRD1wj5R/P5NRhJ7Zm9aV0hhCgG6YDfwu3Sxw3e\nhxJhftX6Ku90H4ORcRJLt9i6aDO3Lrg5u0HWZFY3VbJh2aIxldFyzXeVtLnIA5/vNgohSl/BB/6p\nkRz+xAxz+CE9df169yHe6Xsbh3S1Hh2d9TU3clPNRizdGvMa09Cp8I/W55eqPUKIcjRVwJ9yUhy8\neJjd5/fnbYp4Xc0aPrL4dircoWm9j6mZhNxB6WOFEGIOFHRPG05EGEj0z/h1SineG3yXfV2vMZwa\nzh5v9qfTeipd428D77IMgjmLeCW1RwhRbqYK+AHe7TvFL8++Qm9stH9u8NWxY+mHWRJqnvZ7+U0f\nfss34fsIIYSYXQUd+NvT2Gn3Uj2xbvZ07OZC9EL2WNAMclvDVpYFlk94g/G4TAK+9AyAVO0RQpQb\nXdPwey084+TwZ/REe3np7Cu83386e8xrermzeSsb6m+Y9iCJoRmEXEFcxthZVyGEEFdPQQf+MxG3\n49m0HkU6JcjQDG6s3sCNNRvGTevJyN2J19RMKtzBaeWlCiFEqaip8NA/wS7n8VSc3ef3c7D9cN4m\nhxsb1nNH820zWv/kNT0ELJlJFUKI+VD00a1SipODJ9jfuY+oHc0eX+xfwraGbVS4Kid8rUZ6J163\nK70izWd6CVh+mXYWQpQdXR/b7ymleLv7KL9u3U04OVoNbUmomR1LP0yD79JSnBMzNJ2gK4h7ZCd0\nIYQQc6+oA//uWBe7O16lPdqePRa0gmyt387SwNJJA3hdg6DPhWUZaGiEXAE8ktojhBAAnA9f5Bdn\nfs358MXssZAryEeX3MG11dfMaIDEbbgIuYIyyi+EEPOsKAP/mB3jUNdBjva3jEnr2VBz05RpOoah\nEfKly3VaukmFK4ShG5O+RgghykEkGeGV1j282fVO9pihGdy2cBO3LdyMNYO8fFkvJYQQhaWoAn+l\nFCcGjnOga39eWs/SwFJuq99GhatiynO4LYPASOUeSe0RQog027E5cPENXm3bl7dB4pqqVXx0yR1U\neSZOmxyPS7cIuYIyqCKEEAWkaAL/zlgne9pfpSPWkT0WsirY2rCNpYGl0zpHZhGvpPYIIUS+/7H3\nf9ER7s7+XOet4Z6ld7G8YumMzpMe5ffLhodCCFGACj7wj9kxDnYd4Gh/S/aYqZlsqLmJ9dU3Tqv6\njjaSz++yDKnaI4QQ48gE/W7DzR1Nt7GxYf2MR+tllF8IIQpbQUe/B8+/wc8/eJmYHcseWxZYztaG\nrQSt6e0KaegaIX86n99reghaAUntEUKIS2jAjfU3cGfzNvyWb4avlVF+IYQoBgUd+D9/8oXsvyus\nCrY1bGdxYMm0X5/ZiVfXdFlgJoQQk/iL27+MEZ95Hymj/EIIUTwKOvCHdFrPxtqb+VDVzKadM/n8\npmZQ4Q5Jao8QQkyizl9Dbzwy9RNHaEDACuCzZJRfCCGKRUFHw59c/TsE7TqCVnDar8nN5/cYHoIu\n2SFSCCFmk6yVEkKI4lTQvfaWps2cudA17edn8vlNI5PaIyNRQggxm/ymD7/lk7VSQghRhAo68J+J\nTD6/pZuE3CEsGYkSQohZY2g6IVcQl+Ga70sRQghxmUoiOva6TfxeC4/hJugKSGqPEELMIrfhIuQK\nSt8qhBBFbk4Df8dxePLJJzl58iQul4tdu3axZMn0q/RcStMg4HXhcRmS2iOEEDlmo7/VQPpWIYQo\nIXM6fPOrX/2KRCLBD3/4Q/7sz/6Mb3/725d9Ll3XqPC78bldVHmq5MYkhBA5rrS/NTWTaulbhRCi\npMzpiP/hw4fZtm0bAOvXr6elpWWKV4zPZRkEvRYeyy3Tz0IIMY4r6W9lAa8QQpSmOQ38w+EwgUAg\n+7NhGKRSKUxz4suoqMzfQdLnNgn53YTcAfyume0uWejq6qZftrTYSVtLT7m0E4qjrZfT39bXhKj0\nhHCZpb2Atxh+f7NF2lqapK3ics1p4B8IBIhERjeIcRxn0psQwED/MDCaz+9oOgqT4ZjNMENX9Xrn\nUl1dkK6u0mnPZKStpadc2glXt62zeYObaX/rMz3Eh2AgGgfis3YdhUb+VkuTtLU0Xa22lvOXiTnN\nkdmwYQO7d+8G4K233mL16tXTel0mn7/C66faU4llWFfzMoUQoujNtL+t9FZI2qQQQpS4OR3x/+hH\nP8prr73GZz/7WZRSPPXUU1O+xmUZhLwuQp4gXtMzB1cphBDF73L6WyGEEKVtTgN/Xdf527/922k/\n3+uxqAn6qHCFMHTjKl6ZEEKUlpn2t0IIIUpfQW/gVeX1o0UNqSwhhBBCCCHEFSrohE6X6ZKgXwgh\nhBBCiFlQ0IG/EEIIIYQQYnZI4C+EEEIIIUQZkMBfCCGEEEKIMiCBvxBCCCGEEGVAAn8hhBBCCCHK\ngAT+QgghhBBClAEJ/IUQQgghhCgDEvgLIYQQQghRBiTwF0IIIYQQogxI4C+EEEIIIUQZkMBfCCGE\nEEKIMiCBvxBCCCGEEGVAU0qp+b4IIYQQQgghxNUlI/5CCCGEEEKUAQn8hRBCCCGEKAMS+AshhBBC\nCFEGJPAXQgghhBCiDEjgL4QQQgghRBmQwF8IIYQQQogyYM73BYzHcRyefPJJTp48icvlYteuXSxZ\nsmS+L2tW/fa3v+Xv//7vee655zh79iyPPfYYmqaxatUq/vqv/xpdL/7vZMlkkr/4i7/g/PnzJBIJ\n/uiP/oiVK1eWZFtt2+Yb3/gGp0+fxjAM/u7v/g6lVEm2NaOnp4ff+73f41//9V8xTbNk2/rJT36S\nYDAIQFNTE5/5zGf41re+hWEYbN26lS996UvzfIWXrxz6WpD+ttTaWm79bbn0tVDa/W3BUAXopZde\nUo8++qhSSqk333xTPfzww/N8RbPr2WefVZ/4xCfU7//+7yullHrooYfUgQMHlFJKPfHEE+qXv/zl\nfF7erPnxj3+sdu3apZRSqre3V91+++0l29aXX35ZPfbYY0oppQ4cOKAefvjhkm2rUkolEgn1x3/8\nx+ruu+9W77//fsm2NRaLqfvvvz/v2H333afOnj2rHMdRX/jCF1RLS8s8Xd2VK/W+Vinpb0uxreXU\n35ZLX6tU6fe3haIgvyYePnyYbdu2AbB+/XpaWlrm+Ypm1+LFi/nHf/zH7M9Hjx5l06ZNAGzfvp19\n+/bN16XNqh07dvDVr341+7NhGCXb1o985CN885vfBODChQvU1taWbFsBvvOd7/DZz36W+vp6oHT/\nhk+cOEE0GuWBBx7g85//PK+//jqJRILFixejaRpbt25l//79832Zl63U+1qQ/rYU21pO/W259LVQ\n+v1toSjIwD8cDhMIBLI/G4ZBKpWaxyuaXffccw+mOZplpZRC0zQA/H4/Q0ND83Vps8rv9xMIBAiH\nw3zlK1/ha1/7Wsm2FcA0TR599FG++c1vcs8995RsW3/yk59QXV2dDRihdP+GPR4Pf/iHf8i//Mu/\n8Dd/8zc8/vjjeL3e7OPF3tZS72tB+ttSbCuUR39bTn0tlH5/WygKMvAPBAJEIpHsz47j5HXcpSY3\nPy8SiRAKhebxambXxYsX+fznP8/999/PvffeW9JthfTozEsvvcQTTzxBPB7PHi+ltj7//PPs27eP\nnTt3cvz4cR599FF6e3uzj5dSW5ctW8Z9992HpmksW7aMYDBIf39/9vFib2u59bUg/W0pKfX+tpz6\nWij9/rZQFGTgv2HDBnbv3g3AW2+9xerVq+f5iq6ua6+9loMHDwKwe/duNm7cOM9XNDu6u7t54IEH\n+PM//3M+9alPAaXb1p/+9Kf88z//MwBerxdN01i3bl1JtvXf/u3f+P73v89zzz3H2rVr+c53vsP2\n7dtLsq0//vGP+fa3vw1AR0cH0WgUn89Ha2srSin27t1b1G0tt74WSrcPkv629PrbcuprofT720Kh\nKaXUfF/EpTKVJt59912UUjz11FOsWLFivi9rVrW1tfGnf/qn/OhHP+L06dM88cQTJJNJli9fzq5d\nuzAMY74v8Yrt2rWLF198keXLl2eP/eVf/iW7du0qubYODw/z+OOP093dTSqV4otf/CIrVqwoyd9r\nrp07d/Lkk0+i63pJtjWRSPD4449z4cIFNE3j61//Orqu89RTT2HbNlu3buVP/uRP5vsyL1s59LUg\n/W2ptbUc+9tS72uh9PvbQlGQgb8QQgghhBBidhVkqo8QQgghhBBidkngL4QQQgghRBmQwF8IIYQQ\nQogyIIG/EEIIIYQQZUACfyGEEEIIIcqABP5CCCGEEEKUAQn8RdEbGhrikUcemfQ5jz/+OOfPn5/0\nOTt37sxujDKetrY27rrrrnEf++IXv0hHRwc/+clPeOyxxwC46667aGtrm+LqhRCieEh/K0Rxk8Bf\nFL2BgQGOHz8+6XMOHjzI1dyy4nvf+x4NDQ1X7fxCCFEIpL8VorhJ4C+K3q5du+js7OSRRx7h+eef\n5xOf+AT33nsvjz32GJFIhGeffZbOzk4efPBB+vr6ePHFF/n0pz/Nfffdx44dOzhy5Mi03ysej/PV\nr36V++67jy996UsMDAwAMtokhCgP0t8KUdwk8BdF7xvf+Ab19fV85Stf4ZlnnuG5557jhRdewOv1\n8k//9E88+OCD1NfX8+yzz1JRUcEPfvADnnnmGX72s5/xhS98gWeffXba79XT08POnTv52c9+RnNz\nM08//fRVbJkQQhQW6W+FKG4S+IuS8frrr3PnnXdSVVUFwGc+8xkOHDiQ9xxd13n66afZu3cv//AP\n/8B//Md/EIlEpv0ey5YtY+PGjQDcf//9HDp0aPYaIIQQRUL6WyGKkwT+omQ4jpP3s1KKVCqVdywS\nifCpT32KtrY2br75Znbu3Dmj9zBNM+/8uT8LIUS5kP5WiOIkgb8oeqZpkkql2LRpE6+88gr9/f0A\n/OhHP2Lz5s0AGIaBbducOXMGTdN4+OGH2bx5My+//DK2bU/7vU6dOsWxY8cAeP7559myZcvsN0gI\nIQqU9LdCFDcJ/EXRq6mpYeHChXzrW9/ioYceYufOnezYsYPBwUG+9rWvAXDHHXfw4IMPEgwGWbt2\nLR/72Mf4+Mc/TlVVFRcuXJj2ey1evJinn36ae++9l76+Ph566KGr1SwhhCg40t8KUdw0dTVrbgkh\nhBBCCCEKgiTMCZGjtbWVL3/5y+M+tmvXLq6//vo5viIhhChN0t8KMfdkxF8IIYQQQogyIDn+Qggh\nhBBClAEJ/IUQQgghhCgDEvgLIYQQQghRBiTwF0IIIYQQogxI4C+EEEIIIUQZ+P9bc09sY5xSYQAA\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x82a43c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x=\"total_bill\", y=\"tip\", hue=\"smoker\", col=\"time\", data=tips);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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J5ewayhqx0b8Rq6pWw2V35ekMiYhmZwkLki7nPeCXdRmHBo7hYP9hjGmhuPca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\n8b+TGYim+P8P976MZujkykWWivdAc0GAJ2C99c3x0HGupK5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QWuqjko0yl3iEMTSDPbLS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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x833a5f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x=\"total_bill\", y=\"tip\", hue=\"smoker\",\n",
    "           col=\"time\", row=\"sex\", data=tips);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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NITFXY+w63IdgdHpRgFBUMsQglHxfTW4c9K+ufp3uULn79tX43l90QFEZeI7D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\nSBAEYYJEkSAIwgSJIkEQhIn/H05+kIbg7nPZAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xd2ecda0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(figsize=(5, 5))\n",
    "sns.regplot(x=\"total_bill\", y=\"tip\", data=tips, ax=ax);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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GQWTZI9I/kkCo0jvj6Z1YwixwNZebqvQ+maNn+jA0loABM92UXeV33Ypy3NW6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\n6rRl3QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x82d7828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x=\"total_bill\", y=\"tip\", col=\"day\", data=tips,\n",
    "           col_wrap=2, size=4);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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D9kPd2PFRD7SRw3IKfC58bnMDGz6QoXIlD9D05nrg8UywoEOkg0hcRigq63a/\ncEzG73a148RZf+rayvpSPLClEQU+l25xAMntVfk+F/K9Tti4vYrINBQ1ucXKyAEYUS7Qu4Om3mRF\nw1DQ2O2avYMRvLCjDb2DY6tyVjeV4/4blyDPq+9zD9FUsj0P0NRUVcNwOJHRiTMWdIgyLBiVENXx\nYMCTnQFs29GGUCxZQHI57Lhn42Ksv6JK94IKt1cRmVNcUjAckXRtJaw3TQgc7xjCRycH8A/f3mJ0\nOERZSVZUXAjEDCvmqJrArsM9eP9QVyqGPK8Tn93UgKsbOXgmImNoQiASkyHDlvFV0CzoEGWIEALD\nEWnOLehmS1Y0vL3/HD44dj51bWFFPh66dSmqSny6xDDKabehMN8NDztYEZmKEAKhmKxrkVlvQgic\n6hrG2wc6J5wdRkTplZCS5wKWlhkznOjzR/HCjjZ0D4y9z69qKMNnNzXovhqZiGhUNK4gHJOgCcCT\n58n4/VjQIcoAvQ8GPD8UxW/fP506ANAGYPM1C3F7c62uq2NstuR+9TwPt1cRmY2qaRgOS4YfWJpJ\nZ8+H8PaBc+joDaWu2e3MRUTpFo0rCEYlQ+6tagJ7jvbg3ZaxVTk+jxP337gEq5vK+fxBRIZISCpC\nUSmtBx7PBAs6RGmm58GAmhDYe+w83tp/LnW/4nw3vnBLExoXFmf8/uN53cntVQ47t1cRmU1CVjGs\nc4c9PfUORvDOgU60ngukrtkAXLO0AnetrzcuMKIsFIpKiBi0yq8/EMO2HW3o7A+nrl2xuBSf29yA\nwjy3ITERUW6TFQ2hqHETZroXdH7xi1/g/fffhyzL+NKXvoQvfOELeodAlDGyosEfTkDTYdQUikrY\ntrMNJzuHU9dWNZbh85sbdW3L6XQku1e5TbK9ijmGaKJgRII/lDA6jIwYDMbxbksnjp4enNBB8IrF\npbi9uRY15flwZWCVIvMM5SIju+JpmsAHx3rxzoHO1ASWz+PAZ25owDVLs29VDnMMGeVYx+BIN64Y\nKkt87MZ1CaqmIRyVDe8UqmtBZ9++ffjoo4/wq1/9CrFYDP/+7/+u5+2JMiohJ/eS63HI6IkzQ9i2\nqz11DobbZcf9NzbgumUVuj3U2GxAUZ7LVN0jmGOIxmha8hyvfGTXQAcAhiMSth/qQkvrQKo9MQA0\n1BThrvV1qK8uzNi9mWcoF+m9lXy8C8MxbNvRjrN9Y1spV9SX4PObG1GUn32rcphjyCjHOgaxbWd7\n6uM+fyz1MYs6YzQhEI0riMRlUzSX0LWgs2fPHixfvhzf/OY3EQ6H8d3vflfP2xNlTCyhIBiRkOn3\ntCSreP0PZ7H/RH/qWl1VAR7TvERLAAAgAElEQVS6dSnKi7wZvvsYn8eJ6rJ8DA2aIIuNwxxDlCQr\nKvxhCZomkG90MGkUjSvYebgbe4+fn7CtdVFFPu5cX4eli4ozXtRmnqH5stoMuJ5byccb3Vb+9v5O\nyGqykORxOXDfDYuxZnll1q3KGcUcQ0bZc7R32utmzlF6iiUUhGKyLrsxZkrXgo7f70dPTw9+/vOf\no6urC4899hjefPPNaRNyaWkeAKCyMnMzbZnEuPVnROzhqAQJNpR65r5Spazs8kOuc+eD+H9fOY6+\n0YOPbcA9NzTgnhuX6HZujctpR0mBJ7W9ymy/K7PNMaPM9n3MlFXjBqwbuxXiDsdkyOEESkrG/sTP\nJMeY0WjccUnB+wc68fb+s4gnxpY2LyjPw/2bm3DdiukHdy5nevPjXPKMFX5vpmPV2M0a96FP+/HK\nB2cAAA6HHUOhBF754AyKi/NQWVlourhlRcPgcAxFxZfeVp3uHDMQiOE/X/sEpzrHzsW6sqEMf/y/\nrkBZGiewzJgbOV6yhmyM2x+WpvybGYhIpvh+jYwhIasYDiXg8NhQMssxX6bzjK4FnZKSEjQ2NsLt\ndqOxsREejwdDQ0MoL5+64uf3R1FZWYiBgdCUnzczxp2k5yyUET/zYFSad/vfsrJ8DA1N31pX0wT2\nHO3FOy2dqW4OpYUePHTLUixeUIjhQGxe958Juw0o8Lnh9joxHEgWlNL5805Xgp5tjhnF96q+rBq7\n2ePWRs63iF+0l/tyOcasysry0T8Qwv4Tfdj+UQ8iMTn1uZICN25bW4trl1XCYbfB749O+zouhx1V\nIwOedJhLnjHz782lmP13fjpmjvu13W2Qp9i29NruNqxZUWWquGe6lTydOUYTAvs/6cOb+86ltne5\nXXbce/1iNK+sAhQ1bfdKZ9yLKgvS8joAx0tWkK1xlxa40eefPK6oLvUZ/v0a9TNXVA3hmDzp2Wqm\n0pVnLpVjdG1Hs3btWuzevRtCCPT19SEWi6GkpETPEEhHo/sw+/wxaGJsH+axjkGjQ5s3IQQC4cS8\nizmXEwgn8O+vn8Cb+8+lijnXLavA/7n1aixeoE+VOs/jREWxD3le8zfFY46hXKWoGoaG43N+4DAb\nVRP48GgP/uk3h/H7D8+mijn5Xifuu2Ex/q+Hr8XaFVVwGNCSnHmG5mNgmkmYgUBc50guLZZQEAjp\ncy7gKH8ogf94/QRe+eBMqpjTuLAI337wGqy7ojprt1hdjDmGjLJpdc2srmczTQiEohIGLfBspesI\n7ZZbbsGBAwfw4IMPQgiBH/3oR3A4zNEZh9IvW/dh6nUw4Mftg/jdrvZUEvG6Hfjc5gasbqrI6H1H\nuZ12FOa5075dIZOYYygX6XWGlx6EEDjeMYR3WjonDHA9Lgc2X1ODG6+ugcfgjnrMMzQflSW+KWfA\nK0v0OwfvcsIxGeFxK+IyTQiBlk8H8Pres0jIyWcet9OOuzfUY/2V1bDnSCFnFHMMGWV0fJbcXRFH\nZYnX9Gd8ZYIZz8m5FN2n3HmwV+6wyizUbOhxMGBCUvHqh2dw6ORA6tqSmkI8dMtSlBR4MnbfUXa7\nDYU+l66tz9OJOYZyhRACwaiMWCKzKwX1IITA6e5hvL2/E90XxpYmOx02bLxqAbZcu9BUHfWYZ2iu\nNq2umdBFZvx1MwhGJER1zCnD4QR+t7sdJzuHU9caagqxdUtTWs/KsRrmGDLKqobynCvgjJIVFcGI\nnDqE3SqsOWIjS7DCLNRsKGqymKNmsFp7ri+E375/GkOhBADAbrPhjnW12Lx6IewZ3lpgA+DzOlHg\nc+XcbBiR1ciKhuFwAopFZo8u5VxfCG/t70RHbzB1zW6zYdO1C3HDldVZ2ZaYcpdZZ8CTW8ml1AoZ\nPe536OQAXtt7NrUS2eWw464N9bj+qtxblUNExlE1DeGojJjJt1ZNhwUdyhizz0LNhqyo8IcSyNTY\nSdUEdnzUje2HulL3qCj24qFbl6I2jQftTcfttKMo3w2nwzrbq4hyVTQuIxSVLb/F6vxQFG/v70Tr\nOX/qmg3ANUsrcFtzLZYtKbfkYc5El2O2GXBNE/CHErrNSgcjEn63ux2fnhvrYLW4uhAP3tyE8mJr\nTvoRzYSezWLo8jQhEInJiMYVSz9TsaBDGWPWWajZSkgqApHMHQw4EIjhX189jnN94dS1dSurcO/G\nxan24JnisNtQmOeC181UQGR2mhAY1nEGPVOGgnG829KFI6cvTHiAWllfgjvW1aGm3HxthImylaJq\nCIT0We0nhMDh0xfw6gdnUqtynA4b7lxXjxtWLcj4SmQiI402ixk12iwGgOXGRtkgGlcQjlvnnJxL\n4SiOMspss1CzlcnDRoUQ+OjUBfz+w7EHmzyPEw9sacSVS8oycMcxNgD5Phfyvc6c6RpBZGWyoiEQ\nzuyWz0wLRiRs/6gbB070QxtXIV9SU4i71tXr1rmPiJIyvfp4vFBUwst7OvDJmbEVeXVVBXjw5iZU\nlvgyHwCRwczQLObQp/14bXdbTq8QkmQVwaiU0fNQ9caCDtE0MtnlIZZQ8NLuDnzcPtbCfVltMbbe\n3ISivMyeF+FxOVCY5+L2KiKLsHoXq2hcwa4j3dh7rG/Clo6FFfm4c10dltUWs7BMpLOEpCIQTmQ8\nrwgh8HH7IF7ZcyZ12LLDbsMdzXXYtLqGq3IoZxjdLOZYxyBe+eAM5JEuvbm2QkjVNISisulbkM8F\nCzpEUwhGJUTjmeny0N4TxPPbT2M4IgEAnA477lpfh42rFmT0EECH3YaiPDc8bra+JLICq3exSsgq\nPvz4PHYf7ZnwAFVR7MUd6+qwqqGMhRwiA0TjCoJRKeP3CcdkvLKnA8c6hlLXFlXm48Gbm1Bdmpfx\n+xOZidHNYsywQsgImiYQiVv7nBzpMlvtWdAhGkcIgWBEysgp54qq4b2DXdh1uCeVUKpLffjTz6+G\nz5m5QQ23VxFZj6JqGA5LlmudCSRj33+iH9s/6kZk3CrH4nw3bltbi+uWV8LBWXkiQ4SiEiIZmrAa\n71j7IF7e05G6l8Nuw61ranHTtQv5/qecZHSzmIFADI4pVufrtUJIb0IIROIKInE5Y+egZpIQAp39\nYRw40Y+P2wex7f9eOO2/ZUGHaEQmW3YOBGL47fun0X1hrGPLDasW4K719aiuKshYJxevO7m9ymHn\n9ioiq0jIKobD+pxrkU6aljzw9N2WTgTCY7P/eV4nbrluEdZfUQ2Xk7mIyAiZnLAaLxqX8coHZ3C0\nbWxL+cLyPDx4y1IsKOOqHMpdRjeLqSzxYSiUmOJ69nWWi0sKQlHZkucOhmMyDp+6gAOt/dNu07sY\nCzpESHaPCYQSkJT0zoYLIXCgtR+v7T2b2rNa6HNh681NWF5XktZ7jed02FCY54Ynw12yiCi9Mnl2\nV6YIIXD8jB/vHOic8PDhcTmw+Zoa3Liqhls9iQyUqWeci31yZggv7e5I5TC7zYZb1izCzdct5MQS\nEYxtFrNpdQ1e+eDMlNezhayoCEXljOe6dNOEQFv3MA609uPEGf+kQtTliuEs6FDO0zQBfyiR9q0N\n4ZiM3+1qx4mzYx0dVtaX4oEtjSjwudJ6r1E2W7JglOfNzOsTUWZYtSX56a5hvH3gHLoGxlYZOh02\nbLxqAW66diHymYuIDKVqGvyhREY7ukTiMp7ffhofnbqQuragLA8P3tyEhRX5GbsvEc3cqoZyFBfn\njXS50n+FUCbJioZwTLbcM1QgnMDBTwdw8NP+CSubgeSk2Oqmcqy7ogqLLpNHWdChnKZqGvzBBJQ0\nL8k71RXAC9vbEBqZpXI57Lhn42Ksv6IqY+fY+NwOFOa52TGCyGKs2JK8sz+Et/Z3or0nmLpmtwFr\nV1Th1rW1KM7PbLc+Iro8WdHgDyegZTC3tJ7z4+U9HRgeGYzYbcCWaxfhljWL2E2TyGTWrKhCXZnP\n6DDSRlGThRwrda5SVA0nzvrR0tqP013Dkw5qXlxdiOaVlbi6sRzuGe60YEGHcpaiJmet0jmIkhUN\nb+8/hw+OnU9dW1iRj4duXYqqkswkUJfDjqJ8F1xObmkgshqrtSQ/PxTFOwc6J6w8BIDVTeW4vbkW\nFcXZ86BIZGUJeaQteYaSS1xS8NqHZ3Hw5EDqWlWpDw9uaUJtVUFmbkpEhOQYLhKTM34mWDr1+2No\n+bQfh04OTOqknO91Ys3ySqxdUYWq0tk/R7GgQzlJVlT4Q+k9dPT8UBS/ff80zg9FASS7S22+ZiFu\nb67NyCyV3QYU+NzI8/JtTGQ1VmtJPhSM492WLhw5fWFC8WlFfQnuXFeHmnJuqyAyi0wXik91BfDi\nznYMR5Krcmw2YPPqGty2ti4nDz53cmU0kS5SnatisiUmwhKyig+P9mDHwU6c6wtP+JzNBiyrLUHz\nikqsXFw6r7EiR4KUcxKSikAkfbNWQgjsPX4eb+47l9qjXpTvxhduaULTwuL03OQieR4nCnwubq8i\nsiArtSQPRiVsP9SNltb+CasZl9QU4q519Vi8oNDA6IjoYpk8WD0hqXj9D2dxoLU/da2i2Iv/4/5V\nKPHl1pDCBsDjdiDP45zxtgiibHSsY3Ckc1cMlSW+jJ3LE43LGBiOZ3QLaToIIdA1EEFLaz+Otg1O\nOtenpMCNtSuqsHZFJUoKPGm5Z25lX8p5s5m1OtUVQEtrP/yhBEoLPWheWYVltRM7U4WiErbtbMPJ\nzuHUtVWNZfjcpsaMrJxxO+0ozHPn5AwYUTZISCqGI+ZvSR5LKNh1pAcffnx+QuFpYXke7lxfj2W1\nxRk7D4zICvQaxMxGMCIhmqFVf23dw9i2sy11cKcNwI2ra3BHcx2qqwoxNBS59AtkCYfdBp/HiTyP\nk5NqI8z4XqCJRv8b+cMSSgvcaftvdKxjENt2tqc+7vPHUh+n63dAVjSEohIk2ExdzInGZRw+fQEt\nrQOp3RqjHHYbrlxSiuaVVWhaVAx7mp+fWNChnBGJywhFZzZrdaorgLf2d6Y+HgwmUh+PFnVOnBnC\ntl3tqX2Qbpcd99/YgOuWVaR9oGO321Doc8Hn4VuWyKqs0JJcklV8eOw8dh3pmXDIYEWxF3esq8NV\nDWVpfxDJJLsNbJlOaafHIGY2hBAIZKhLXkJW8da+c/jDJ32pa+VFXjx4c1NOrdDzuJKrcZhPJjLb\ne4EmG//fyOW0p/W/0Z6jvdNen+9ra5pAOCZnrEidDpoQaO8JoqW1H8c7hiady1pV6sOWNbVYvqgo\no10/OTqknBCMSpMOoLqUlnHLiS++vnhBIV7fexb7T4z9m7qqAjx061KUF3nnHet4NgB5XifyfS5L\nDaKIaIymCQxHzN2SXFE1HDjRj+0fdU8oOhXnu3Hb2lpct7wSDovMRo9uhfC6HfC4HFxJRGmXyUHM\nbGmagD+UyMgWzo7eILbtaMNQKJG6tnHVAty1vg7uHGjEYLcBPo8TPo+THbumYab3Ak1tz9FexBMK\nQjEZqirgcCQnidPx32ggEJvmenxerxuNJyfAzLogZzgi4dCnA2j5NLmTYzy3047VTeVoXlmFuqoC\nlJcXZHwFIws6lNWESA6kZtvO7uI356i+oSh+tu1jXBhOJiqbDbjlukW4ZU1t2gc7HpcDhXkuPkQQ\nWZisqAiEJdO2JNc0gcOnL+C9g10T8l6e14mbr12EDVdWW2aLp9tph29kBp0FcMqkTA1iZktRNQRC\nCShpzi+SouLt/Z34cFzHztJCD7ZuaURjhs4GNBOn3YY8rws+DwvCl2OW9wJN72xfKPX33WazQVGS\nXX7T8btdWeJDn3/y70BlydwmuCVZRTAqpc4kNRNV0/DpueRxHJ92BiadxVpXVYB1K6twdWO57iv5\nZlTQGRwcxMGDB+FwONDc3Izi4uxP5qS/dO/B1YRAIJSApEyctZrJ2TilhR4MBscGN0Ikl/2Fo2On\nqpcWevDQLUvTuuT4VFcAh04OIBBOoLo0b8qfAfcqE1lDNK4gFDVnS3IhBD4548c7LZ3oH/cw5nE5\nsGl1DTZdXWOJrQUuhx1eT3I1jsNujcITWdfo399+fwwCQKHPBe+4rdBzHcRc7n5T/b3PRLdOADh7\nPoQXdrZhcHhsQL7hymrcvaEeniw//NfttCPf67JE7jOLdA/oreRS708zPavLytSr9yRl/quGN62u\nSW3fGl0FpKgavC47jnUMzvh7VjUNoag86wl4PVwYjqGldQCHTg5M2jZvtyXHg5uvWYj1V1QbFOEM\nCjovv/wy/v7v/x5r166Fqqr4m7/5Gzz11FPYsmWLHvFRjkj3HtzpliDP5GwcAGheWZW6rqoa/OEE\nJHnsta5bVoHP3LgEXnf6Frmd7g7g3ZaukUP2bFP+DLhXmcj8hBAIRiTETPhgAgCnu4fx9v5z6BoY\nWwLsdNhw/VULsOXahRnd550Oo4eSet0OrmAk3Yz/+5vvcyEQSiQnhoBUUWfT6pqM3A+Y+Pd+2aIS\nBMKJtBaLZUXDuy2d2HO0N/W6JQVuPLClCUsXZe9E7ugWzXyvyzKrEc1k/ID+4uvZ7NCn/dO+PwGY\n6ll9ut9rVxq2TY5+P6/tPYvewQicDjtKCjyIy9qMvmdNCERiMqJxxVSTX5Ki4nj7EA582o8zvaFJ\nn/e47MjzuuB1J1fx7T/Rj9JCz6QFAnq57Gj0ueeew4svvojq6mTVqbu7G3/2Z3/Ggg6lVTr34Cpq\ncinhVFscLnU2zvg34ej/f6+lC72DsdSyOq/bgc9uasA1SytmFdPl5Hmc+LhtcMqOCeN/BtyrTGRu\niqohEE6YcrlwZ38Ybx84h7buYOqa3QasXVGFW9csQnGa2mdmgt0GeN1O+DyOtDyEEs3W+L+/ow0K\nRg86X7ygMO0z8NP9vd/xUTcqin1puw8AdPaH8Pz2ttR2ciA5sXXP9fVpnbgyE5sNKPC54CjxcnXf\nPIx/Ph0IxFFZ4s2JlePv7j835fXp3rejnzPi57K4uhBCJPOVqgo4nXYU+FxYXF2Qltdf1VCOPUd7\nUVOeP+lz033PQgjEEorpzsnpvpBsN37k9IVJq4WK891Ys6ISPQNhhGKTz2W9eCypp8tm6fz8fFRW\nVqY+XrRoEVwuc8/ekfWkaw+urGjwh+LTJofpzsa5+HpCUnHk9AWc6w+nrjXUFOILtyxFSRoHPW6n\nHVWlPgQgJjxIjTf+Z8C9ykTmlZBUBCKJSfuqjdZzIYwX3j2JT874J1y/urEcdzTXoqIkvYPDdLHZ\nAJ/bAa/bCbfLzrMsyFAX//0dPSzXbrPhzz67KuP3A5LbEvqn2N4yV4qq4b2DXdh1pCeVt4ry3Xjg\npkYsrzNmYJJpTrsNPm/yv11xgQdSTDI6JMtb1VCe9QWci50fnPqQ2+Tz+NQPAUY9q29aXYM+fww+\njxMupz21BSudq6hmOj5JFnJUhOOyaVqQxxIKjpy+gJbWfvQMTmw3brfZcMXiUjSvrMSy2hLY7Tb8\nP7/7eMrXmW6MqYfLFnSuvvpqfP3rX8fWrVvhcDjwxhtvoKqqCi+99BIA4HOf+1zGg6Tsl449uHFJ\nwVAofsnB1MVn44y/PupcXwi/ff90qquD3WbDHetqsXn1wilX0MyF3QYU5rlHkmtytnkmP4Nc3qtM\nZGahqITILDrp6WEoGMd7B7tw+NSFCY+XK+pKcMe6OiysmDybZjQbALcreSbOgrJ8DJqtOkY5S++/\nv+PvJ4SAqgkIAZQXpWdSqWsgjBd2tE0oEK1dXol7Ni5OrUDKFjYkV1j7PE64s/wcINLHgvJ8nDsf\nnHR9NB+Y6Vl9/CqqQERCdWn6z/SZSX6MSwrCUTnth7jPhRACHb0htLT241jH4KRV1RXFXqxbWYVr\nl1WgMM894XMzGUvq7bIZO5FIoKqqCrt37wYA+Hw++Hw+7Nu3DwALOpQe892DG0sokIcvXcwBJp6N\nc/F1VRPY8VE3th/qSq3wqSj24uFbl2JRZXqWJQLJ7VUFPtek4tBMfga5uleZyKw0TSAQnnz4upFC\nUQnbD3XjQGv/hK2nixcU4q71dViyoMjA6KbmdtrhHVmNM5ob01VAJ0oHvf/+jt5vfDEHSD6vzIei\nath+qBs7D3ennnUK81z4/E2NWFlfOs+ozSW1GmdcXiFKh9vX1+PfXzk26fpoPjDbs/roKqrKykIM\nDEw+E2a+LpUfZUVFKCqb4jkpFJVw6OQAWj4dmHDwO5BssnB1UzmaV1ZicXXhtKuCLzWWNMplCzo/\n/elP9YiDctx89uBG4jJCURllnstvBRzd23hxl6vyIi/+9dXjONc3tsVq3coq3Ltxcdpmc9xOOwrz\n3NMeTjaTn0Gu7lUmMiNZUeEPS6ZaNrzrSA8+PHZ+QleLuqoC3LpmEZbXlZhq2xIPNyYr0fvv76qG\ncqiqhh0f9WAwGEdZ0dRdOWej50IEL+xow/mhsW0F1y2rwH03LMmaVTlcjUN6WLOiCsNbGi+ZD3Lp\nWX2q/Hj9VdVYVFEw5WoWPamawMnOkXbj5/yTjuVYVJmP5hVVuGZp+YzODJtuLGnU+TnAJQo63/jG\nN/CLX/wCt95664QHQCEE7HY73n33XV0CpNwxlz24waiE6Cy3OSyrLUm96YQQOHzqAn75zikk5OTh\nV3keJx7Y0ogrl5TN6nWnY7fbUOhzzehhaSY/g1zcq0xkNtGRQrIZSjmSrGLv8fPYebhnwiF+5cVe\nrGooQygm472DXTh0csDwhw6bDfC6ONgia9Lz768kq6gpz8fDty2b92upWrIwtP1QN7SRpT4FPhc+\nt7khbc86RuNqHNLbpfLBfHKFmVqez8bo96yoGsKxZAvy0bGVEQaDcRxs7cfBkwMIRSe2G/e6Hbhu\nWSWaV1ZOeZjz5YwfS5rBtCPMp556CgBw5ZVX4sknn4QQAjabDUIIfP/739ctQKKppKMtcCyh4OU9\nHTjaNpi6tnRRMR68uQlF+e5LfOXM2GxAvteFfK/TVLPiRDR32kjuubj7gREUVUNLaz+2H+pGKDb2\nsFKU78ZtaxahKN+Nd1q64HTYoAlgMJhILRPW+0HE7bTD53HC43bAznxIdEmxhIJgREpLwfj8UBQv\nbD894bDP4nw38rxOHDl9AS6n3VQDk9ngahzKNsc6Bk3V8nw2VE1DOKYgnjCuBbmsaDh+Zggtrf1o\n75l8xlHjwiI0r6zCVUvKpt0xYUXTFnT+9//+3zhx4gT6+/tx4sSJ1HVVVVFTw/M6yDiaEBgOS/Oq\n+nb0BvH89tMIhJPdDRx2G+7eUI+NqxakZbDhcztQkOdiK0yiLJKQVQwOxyecS2METRM4cvoC3j3Y\nNaGrQp7HiS3XLcT1Vy6Ay2nHr949OeXX69Vak1uqiGZvtBX6fKmawK7DPXj/UFcqZ3ncDuSNdOcC\njC3yzgdX41C2mq7tuVEtz2dCEwLRuIJIXDasy2fvYAQtrQM4fHoAscTE8WFRngtrlldi7cgRG9lo\n2oLO008/jUAggB//+Mf44Q9/OPYFTifKy835C0XZT9ME/KEEZHVuB2ulWnQe7klVj6tKfXj41qVz\nWnJ3MZfDjqJ8V6pzFRFlh3BMhoSYocUcIQROnPXj7QOdEzrTuF12bLq6BptW10zY/z1dC81Mtta0\n2QCv2wmf28EZc6JZEELAH4ynpZjT54/ihR1t6B4Ya618VUMZNE3DcGTy6+tV5J0PrsahXDDT9t9m\nEY0rhrUgj0sKjrYNoqW1H10DE9vI223AivpSrFtZhWV1JXBkeeF32oJOQUEBCgoK8Nxzz+kZD9G0\nVE2DP5iYc7u7gUAMv33/NLovjL3pN65agLvX18972d1szskhIusYvyKwzDf/rZhz1dYzjLf3d6Kz\nf+zgdqfDhg1XVmPLtYtQ4Jt8KLyerTVHt1R53Q5uMSWapdFueQW2+T2LaJrAnqO9eKelM1V89nmc\nuP/GJVjdVI7nXprclQfIbJF3vrgah3LJTNp/m0FCVhGKSpPafWeaEAJn+0JoaR3Ax+2DExpAAEBZ\nkQfrVlbhumWVaTk+wyo4+iRLkBUN/nBiThVgIQRaWvvx+71nU2/8Ap8LW7c0YsU8W3TaAOT7eE4O\nUTZSVA2B0NyLyOnQ1R/G2wc6cbp7OHXNbgPWLK/ErWtrUVIwfXEm0601XQ47vB4HvG4Ht5cSzVG6\n8sxAIIYXdrRNKPpesbgUn9vcgMK85MBGzyLvfHA1DuWqS7X/NgNF1RCKyrofdhyOyWjZdxa7DnXh\nwkXtxp0OG1Y1JNuNN9QU5eR4jAUdMr2ErCIQTsxpX2YkLuPFne04cdafurayvhQPbGmcckZ7Nrxu\nBwp5Tg5RVkrnoaRz0e+P4Z0DnTh+ZmjC9asby3B7cx0qS3yXfY3RLRQftw/h/GAkLa01nXYbvDwX\nhygtZEWFP5SY1EZ3NjRN4MNj5/H2gXOp2XKv24HP3LAE1y6rmDC4yXSRd764Gody3VTtv/XocnW5\nzlqaJhCKyYglZtdZeD40TeB09zAOtPbjxBl/qkPfqJryPDSvrMK1SyuyboeEDYDLaYfLaYfb6bjs\nTpLs+u4p68xnUHWqK4AXtrelur+4HHbcs3Ex1l9RNa/qrcthR2Gei7NGRFlICIFgVN+HlvH8oTje\nO9iFj05dmFDEXl5XjDvX1WNhxezO+lpWW4INqxdhaChy+X88Dc6WE6VfOorGg8NxvLCzDWfPh1LX\nVtSX4PObG6fcbjBazG1p7Yc/lEhLkXe+mF+IJppPy/O5uFRnrauWlCGaUBCO6XfgsT8Ux8FPB3Dw\n0wEMR6QJn/O6HbhmaQWaV1RiUWWBPgHpwGG3jRRvkkUcp8M+q7EqCzpkWpG4jFB09ocDyoqGt/ef\nwwfHzqeuLSzPw0O3LUPVDGa1p8Nzcoiym6JqCIQTuu8JB4BQVMKOj3qw/0TfhIOXF1cX4s71dWio\nKdI9Js6WE2XGfDtZaULgD8f78Na+c6kmER6XA/fdsBhrlldeciCwrLbEFAcgO+w25DG/EBluus5a\nOw/3YEFpni7bzhVVwzG6jyQAACAASURBVCdn/Ghp7Udb9/CkQveSBYW4eW0dllTnw23xxjOjq2+c\n4wo4893twZEpmVIoKiESn/0M+fmhKH77/mmcH4oCSL5pNl9Tg9ub6+a8PcAGIM/rRL7PlZaW5kRk\nPrGEgmBU0r3lZiyhYPeRHnxw7PyEw/1qyvNw57o6LK8r0XU/uH20S5XHwW59RGmWjhWAQ8E4tu1s\nR0dvMHVtWW0xHripEcWXOFPLLNxOO/K9LnjczC9EZnBxZy0hBFRNoG8omvFiTt9QFC2f9uOjkxcQ\nvSgv5vtcWLu8AmtXVKGyxIeysvx5rTY2isNug9ftSK3Ame3qm5lgQYdMRQiBYERCTJrdYVtCCLzf\n0okXt59Kza4X57vx4M1NaFpUPOd4PK7kOTk8K4IoO2lCIDSHnDNfkqJi77Hz2HWkB7HE2L3Li7y4\nvbkWVzeV61ZAtgFwu5KHG7NLFVFmaEIgEEpAuqgry0wJIbD/RD/e+MPZ1Gu4XXbce/1iNK+c31by\nTLPZAJ/biTyvk89TRDNwuTNt0mm0s5YQApoQ0EZSVFlRZgrECVnFx22DONDaP+EQdyCZK5bXlWDd\nyiqsqC+x3DmlNgBOhx0ulx0uhx1ulx0LyvPh0OaW92eKBR0yjfHtgWcjFJWwbWcbTnaOdYFZ1ViG\nz29unPP2KKfdhsI8N2eQiEbo+XChF1nRMBzWt4uVompo+bQf2w91T9hSWpTnwq1ra7F2RaUuDzA2\nAJ6RAo7b5eDqQ8oJ881jc/16VdPgD819O2cgnMCLO9sndLtrXFiErVsaUVpornbG46W2VXmczDFE\nM3SpM20y8dx149UL8PyO9kmdhNN5WLoQAp39YbS09uNo+yAkeWKBo7TQg7UrKrF2eaUlVhqOstsA\nl9Mx4fwbI4rrLOiQKWiagD+USO0Fn6kTZ/3YtrMN0ZHtWW6XHZ+5Ycll95BPx2ZLtjTP87ANOdEo\nvR8u9BAdOaNLr1KOpgkcabuA91q6MBQaaxvs8zhx87ULcf1VCy7bxSAdnA4b8jwueD0s4lBumW8e\nm+vXy4oGfzgxabA0E0IItHw6gNf3nk1Ndrmddty9oR7rr6w27XvY43Igz+PkpBjRHEx3ps2eo71p\nfeYSQiCWUFBdmoc7mmszclh6JC7j8KkLONDaj37/xK1dDrsNVzWUoXlFFRoXFZk2n43ndNjgcjom\nHF5sBizokOEUVUMgNLtZcklR8fres9h/oj91rWFhER64qRHlRXObrfJ5nCj0uXg4H9FF9Hq40IOm\nCQxHZr8ScK6EEGg968fbBzrRN+5hxu2yY9PVNdi0ugZed2b/FNsA+NwO5HmdPBeHctZ889hcvj4h\nqQhEEnM6m2s4nMDvdrdPWH3cUFOIrVuaUDbH55xM4rYqovS4+EybsevxtN0jNtK5arQJQzoPS9eE\nQFv3MFpaB/DJmaEJjR4AoLrUh3VXJNuN53ldablnpjgdNrhdDnicDrhcdtMWnVjQIQBjy4j9YQml\nBW7dtlPMZeaq+0IEv3nvFC4MjyW2wjwXSgs9GArGZ13QcTvtKMxz6zI7TmRFejxc6EFWVATC0qSH\ni0xp6xnG2/s7J+wRd9htuP7Kamy5bhEKfJl9kEmuxnFiQXk+BnVbi0RkTvPNY7P9+mhcRnAOnTqF\nEDh0cgCv7T2L+MjZXi6HHXdtqMf1V5lvVY7TbkNxgQdOoZkuNiIrGj3TZvL1+Rdy4wkFF4ZjGenm\nGQgncPDTARw6OQD/uJXIQHIS65qmCjSvrERtZYFpd0HY7Ta4nXZ4XA64XfPvPqUXFnRowjJil9Ou\n23aKhKwiEJ75zJUmBPYc6cU7LZ2pAZnDbkNJoQcelwMXAjG8tb8TAGZUZbbbgMI8N9uQE11GJh8u\n9BKJywjrtMWqayCMt/d3TjjvwmYD1i6vxK1ra1GSwf3h9pFuCj63M1Wk5qpDovnnsdl8fTAiTerY\nMhOBUAL/+dan+PRcIHVtcXUhHry5CeXF5sq347dVFfhciIWtVeAnMqtNq2smbO8cf32uJFlFOCZD\ngi2txRxF1dB6LoCW1n6c6gpMGtPVVxdg3coqrGosh8dlvhXCZt1CNVscyZIh2yliCQXBiDTjwdVw\nOIHnd7ShvWesTWdJgRtet3PSYKWltf+yBZ08jxMFeWxDTjQTmXi40Is20jkvrkMXq35/DO+0dOJ4\nx9CE66say3B7cx2qSnwZue9YEYetxommM988NpOvF0IgMIfmDkIIHDk9iN/vPZM6E9DpsOHOdfW4\nYdUC0xRlbbbk9vQ8D7dVEWXK6NgreQB7HJUl3jnvnJAVDeGYnPZt5gOBGFpa+3Ho1AVEYhNXIuZ5\nnVizrBJrV1aiujTv/2fvzYLjus573//aY48AGkMDIAHOAyhBpEiClKl5suTYsRVbPnZublLnnOTF\nObmVyksqdVN1U3m5D6k83TpVjiu5J7fqJD4pO5ZsKZIHjZRIURYJDiIhiiBIgCTmoYFu9LjHdR92\n743ePaG70ZjXr8oyuXvv3QvN3h++9Q3/r67vu1IEzmqhErNVOBvFtq4UFtBhrHk7RbVlyDeGI/jF\nuWFntK9H4vHKk3vxyY1JFOucyC/zy0XkOTT4RbbpYTCqoJ7OxVpSiz5XLSzEFXxweQxXhmZd2amD\nXY146VQ3drYFVuV9ZdHSxdmIWS8Go55UO13qyuAM3j53F/en49B0E6LAYXd7ECcPt2FsJlGTHVvO\nDhqmiWhcrXq4Qzyl4o3zI7h5b8E51h0O4NVn969aELhahOy0Kg+bVsVgrAm9e1tW5GPphhXIqWcy\nS9UMDIzM49KtGdyfirteIwAOdDWiryeMI7tDGybgyxFYGjibrIWqWlhAh7Gm7RTxlIpkprIyZEU1\n8NaFe7h8e9Y5tqcziO89dwBNARk3780jslgYvAkFC9sZOAIEvBJ8HvaVZzBqYaXOxVqTUXXEkmpN\nYqSVkkhr+PDqOC7enHbp8uxqD+ClU7uwb0dD3d+Tt6txWIacsU2odrrUwEgEb35yD/Gk6krwUGpd\n++oz+2q2ZaXsYK2TrK7fjeDN8yNOe5bAE7x4shtPHu3cEJljFjRmMDYXhmkikdaRUfS6tJhTSjE+\nl0T/rRl8fidSUOnT6JfQ1xPGiUNtRfdfaw0hgCRYwRspO058O7Auu9tIJILvfOc7+Od//mfs379/\nPZawJSmXwbJfy89WPXm0s6CM2FY+z6g6fvTGQF0y8TTb9pBeJlI8NGb1YU7NpxBLqFB1K9PFEYIX\n+7rw9LEdjpPT1xN2NHNy6esJu/7OpldtP5iN2d6UCxzbNmYlozkzqo5zn0/ikxuTjo0CgI5mH146\n1Y3Du5rqKvhHACeII7GN1YaA2ZjqqLbCJpdq28Lt8+N5bQCJtAavLNS9nVzVDCxUoQdor+XNT0Yw\nMLzUnrmz1Y8/eaUXHn59fRWOAB7WVrUh2Ip2Jt8WfOOp/ehuXttKtJXYo7V8z2quMU2KREZDOlOf\nQE5a0XFtaA79gzOYjKRcr/EcQc/uEE71hHFgZ+OK9lf18MlEnoMsLengbFTB5dVkzQM6mqbhb/7m\nb+DxbCxxt81OuQwWALz20TDSio5objtSTrbq1Wf24fz1SYzPJZFIawh6RXgkoS4CyZX2lA+NRfHr\nzx4gkdYQz2nJavCJ+MOXD6Mrr23BfuBtQxAO+fDIvmbnOJtetT1hNmb7stxI8qGxqCsIHFlUqhJS\nVzUDH1+bwEefjzstoADQ3CDjxZPdOHqgpa7tCCLPwSvzRbXCGOsHszHVUW2FTT7VtoXPRtPgeQ56\nXuuT/fd6tpNnVB2xROV6gAAwMDKPN84NO0FnniN4/kQXnn60E22tAczPJ+u2vmqwpuKJ8Mr8ttwQ\nbTS2op0pZgv+5Zc38a0n9qxZBfBK7dFavWel15iUIpXRkcxoK65INinFyMQi+gdn8MXIfIF4cluT\nB6d62vHowda6TOms1ScjxKoetP/H/KN1COj83d/9HX7/938f//iP/7jWb72lKZfBsknkZaviaQ2e\nbLbqB6/0ondvC/6/Xw/iwdRi/m1qzmiZJsVCXKmop/zCjUnMxTLQcjLePllAVzhQEMyxOdjV5Dz0\nzc1+zM8nIfAEQa8EWWKZ7O0IszHbE003EU0oZUeS99+aKXm8nPNgmCb6b83i7LVxxBKqc7zBJ+K5\nE13o62mrW1+2LXDMsuMbF2ZjqmOlgxeqbQtva/JiPq5A4DnoOf6E/TzVq508ldGxmFKXP9E5X8Ob\nn9zD9bsR51hniw/ffXY/Olv8dVlTLbC2qo3JVrQz6zGEZS3XUKqippb3XO4aSilSio5kWiuqJ1oN\ni0kVV27Pov/WDObzdEhFgcPRfS3o6wljV3t9x41X45PxHEHAK4IGZUjbtAqnHGsa0Hn99dfR3NyM\np556qiIDFcoqY7e1BVd7aavCWq57IaEWrUSJZjUkRIGDYVDXA2CYFKLAIZpUnbVORZIl71Ptz6Mb\nJiKxDIKN5TcllFJc/GIKt8diTnSZI0Bzgwc+j4CUoqO5eXlnhyME+3Y1w1+HqPFaw77j9aFaG2Oz\n0X6OStms6wbqu/ZURkM0rqCxqfw0hcWUBqFIO0M8rRW1MSal6L85jf84N+yqEvB7BLx8Zg+ePdFV\ntxYoj8TD7xHhkVfn1/Jm/a5stHVvNxsDrHzt5fyTSu79jaf2419+ebPo8WLX2+c3BWREYkvVOE0B\nq2K31HXVEEsoUEHQ7KnM3/h8aBY//vUtLCatABDHEfzOmT34+uN7wOcFbivxd1YKRyyR44BXLHj/\nWtms3/GNuO6tul9aqS3YaGvIPf/K4Aze/OQeAIDnOczHFbz5yT00Nvpqes9y1/gCHsRTKkQPhyaP\nVNWaAcvGGIaJG3cjuHB9AjfuzhVU9+zpbMATx3ag70g7vKvkl5TzyVpbApBEDrJkBZvtz6IxsP46\nPbWw2t/vNQ3ovPbaayCE4NNPP8WXX36Jv/qrv8I//MM/oK2trej5CwsptLUFMTsbL/r6Rmat1x0K\nSEUzWO0hqy91eiENnicF2SpNN9Ee8jpr7WjxF63QyT2nEioVCEwrOt44P+LKWMkih6aAnC2Zpmjx\nS8uWIPs8AvZ2NyMSSSCVWJ3pXKsF+47Xz9BVa2Nstvvnv9bUa+0mpYhXoM1l0+ATiwqp59sYSilu\nPYji3UujmJpf6h2XRR6P93bgqWOd8EgCEvGV2RqOI/DJArwyD1OliKs6VuNfdLN+V5iNWX/q8W9Q\nzj+p5N7dzV5864k9BdOlupuLX9/d7MUfff0hvH3uLkyTQtUNiAKPrrZA2esqwaQUsSrGkqcVHW9d\nuIerQ3POsY5mqypnR6sfsZj7c7ErjVeL3LYqNW1iPl15hVE5mI2p74Ztq+6XitkCUeDQ5JfWbO0r\ntUc2+Z/32+fuujoMco/X8p7FrjFNiuagjOEH80WvqQSdELz/2X1cGZwt0BnzygIePdiKUz1hdDRb\nQcJ0UkE6WXp68ErI9ckIrFYqQgjaGj0QqAlTNZFWddifwmb4jhejXusuZ2PWNKDz4x//2PnzH/3R\nH+Fv//Zvl3WCGJWRL2ycexywNHQCXtGloRPMVrLY5wDAi6d34Z/fHCh5n0pQNAPRCgQCRyYX8e8f\n3kE0sZSxCnhF+D2Cq5IoX+Q4F4EnaPTLEAWO9VAymI3ZRmi6iViiupHklQipD08s4p1LD/BgOuEc\n4zmCxx5qx+89dwC6UtmUvlIQWCM0vbLV+83KhjcXzMZUz3L+SSVUO2XvxOFw3YVWdcNq68zXlSjF\n4IMF/PzjYSxmNQE5Ajz96E48f2LnmrdTsraqzcVWtTP1sAUbdQ3ltL6+/fTeqt8zd52UUhgmBaXA\nicPVfw803cTASAT9t2YxMlmYtN+3owGnesJ4aE/zmuiOEliBvCePduKtC/edQI7NU8d2rPoathps\nhvMWwXZ08jNYuQ7Q+euTuE8INN2AJPDY1R4oOOfE4TBiWYHkUvcpR1rRsZgsLxCoGybevzyGj69N\nOOeFQ158//kDSKS1itTOCUE2+LP52qsYDMbKqMTOFCNfSD3XxozPJvDOpVEMjcWc8wkBThxsw/Mn\nuxAKymjwy5ivMaDDc1aLg5cJHDO2GZX4J5Xy1qf3cPbqOBJpDQGviGeP78TvntlT3wUXQc0mqiqJ\nH2dUHW9/eh+XB2edY+GQF999Zj+6wsX1AFcLu5WTDYdgbASK2YK1nnJVT3uUSzmtr0rfM1+D58Sh\nVtybjGM2mkZzDROgJrLjxq/dmUMmr5K5wS/h5KE2nDzchuaG1Rfe5jiSFTHmIIk8OELQ3OBxJg/W\n899iO0IoXakm9uoxOxvf9uVVa81K1p1IawXCy/nMRdP4yYd3MD67VFJ8prcDXzu9q2KHwyvxCPjE\nAhHS7fiZrycbtVS5Frb757/W1Lp2SiniaQ2pEiPJa2EmmsZ7l0YxMOIuYX54bzO+eqob4aYlR7OW\ndoiNkBnfrN8VZmPWn4303Xnr03t4K6tRkcvvPrGnIKhTz3WnMjriqcoCyENjUbz+0TBiWa0cQoCn\nju7ACye7KvJx6tFyRYjVOrGWwuob6XtSDVvFxrD9UmXUc1x5/rrzp1LZvPrMvoreI/d6SilMSmGa\nwMunu6sK4mRUHdfuzOHyrVmMz7ltCUcIHjnQimP7rYnA/ConlwSOQJZ4eCQeorByH2i7f8c3TMsV\nY2tCKcViSkO6TOaaUor+WzN469P7To+p3yviu8/sw+FdoYreh40hZzC2L7phIpZQK5qYVwnRhIL3\nL4/hyu1ZV3vowa5GvHSqGztLTNarBM7eUHmEuk2/YjC2O2evjpc8vlpVOosptaIAsqIa+OVv7+NS\nztSW1kYPvvvsfuxqX5uNviRw8MoCZMnKfjMYjCVWe1z5Sit/zl+fdLVW2Sw3hROw9lj3puLovzWD\ngeH5Aj+ppdGDU4fDOH6oFbu7QnXV6RoaizpVzy0NHpzpbccj+1rZOPE1hgV0GCuCUoroMgKByYyG\nn388jJv3FpxjPbtC+M4z+xCoYCIVzxE0+NgYcgZju5JWrPHA9agnTaQ1nL06js9uTrtGnHeHA3jp\ndDf272is+d4iz8HnEeCRmDYOg1FvSlUAJ5epDK6FasSP747H8NpHdx09QALgiaOd+Gpf96onoDgC\neNa4GofB2Iysxcj0arW+bDTdxGQkiWL5qoV4aUHieErF1aE59N+awVzMPaRB5Dn07mtGX08YezqC\nq+KT3J2I4d1LoyCEgOMIokkVv/psFD6PyNqm1hgW0GHUjGlSLMSVshnzobEofnb2LuJZUUCR5/D1\nM7tx+kh4WeNCYFXx5IskMxiM7YFpUiym1ILe71rIqDrOXZ/EJzcmoWpLNqs95MVLp7rRsztUk53h\nCCBLAnxyfUqKGQxGcQJeEYlUYfDGX0FiqBp0w0Q0ruDLBwtlNf0UzcBvPnuA396cdo61NHjw6rP7\nsKejoa5rykfgCfwekQWPGYwKKSdavF6omoFkRsfASASLSRUpRQfPcfB7BMiStUUPBd1juk2TYmgs\niku3ZnDrfhRmXqZrZ6sfJ3vacGx/a93HjQscgZQdIS6LPH5xbhh8kUByPYNkjMpgAR1GTdgOT6kJ\nM5pu4p1LD/DJjSnn2I4WH773wkGXJkUpZJFH0CeyjBODsU1RVAOxlAqziilWxdB0E7/9Ygpnr024\n2kKbgzJe7OvG0f0tNZUFy6LVF842VAzG2vDs8Z1FNXSePb6zbu9hix8PjkZdE/Eii4rz94NdTRie\nWMRrH911Zc/P9Hbg5dPdkFYpsEsAyBIPnyxAYtOqGIyqKCdavNYomoFkWoOqmxgas2wNz3MABQzD\nxGJSRQOsZJE9hXN+MYPLg7O4fHsWi1mNLhuPxOPRA63o6wljR6u/buvks0LGdgAn31eajaaRUXTE\n0xp0w4TAcwh6xXUNkm1XWECHUTWabmIhoZTcaE3Pp/CTD+5gaj4FwHJCnjrWiRf7upcN0Ag8QdAn\nsdGaDMY2xaQU8WU0uSrBME3035rFh1fGnLHBABD0iXj+RBdOHm6rOmDMEQK/h2njMBjrga2Tc/bq\nOJJpDf46T7nKnZ7Xn6OFk8vFm9MYfBDFhYGlZFUoKOPVZ/Zj347VqcrhCODziPDKPLM7DEaNrHRc\neb6gci3TudKKjlRGd3U22LbGk63ISWV0GKYJ3TDx9ZM7kcro+B9v38Td8cJx43s7g+g7HEbvvpa6\ntXdKAgdZ4iGL/LI+kiTwGI8v6fHouomFuIKmvKoixurDAjpbmHqqudso2exVMS0LSik+/WIav/7s\nPnTDOqHBL+E/Pbsf+3eW16XgCBDwSvB52FeSwVhNVsMu1AtVMxBLqjCyJcXl2h1KYVKKG3cjeK9/\nDJHFpSyRV+bxzLGd+Epve9UZdIEj8HlEdLT4MEfrI8rMYDCq53fPFE60qpVcW9gUkPHowVbHxhTT\nrVA0A4OjUce/AYDHHmrH1x7btSpJKKbJxWDUj3zRYkkgAAh+/O5taLoJUeCwuz2IrnAAYzMJl48E\noEBQ+V9+eRPfemIPAODtC/cxNpuAblJIgvXc7m4P4smjnXhodzNSio6UohdNhC/EFWRU3Qnk8Jwl\nbm6YFD87O1yQ3Ap6RZw4bI0bb21c+bh3jgCSyGdHilcrZFyignrjDtAuykb2iyuF7Z63KKuh5l5u\ndGc8peK1j4ZxezTqHHt4bzO+/dS+skEaAsDrERDwimwqA4Oxyqz2lIdayR9Hbpcg2+S3O5S6x+Bo\nFO9eGsVkJOUcFwUOTzzSiaeOdlbdTy4JHPwe0RFkZ5sqBmNrYNtCe6rM9ELaZWNCQRmRRSuoY0/y\nzBVfbgpI+M7T+3Ggq3YR9VLIIo+AV2CaXAxGnbFFi+3nP63oiOYEbxXVwLWhOYSCMjyy4PhIHrF4\npcrbF+4hmlCxEFdgUgrDoFBVA+mMDmpSTMwl8dVT5ceOizxBPKmCUmu6la4bBbqBhACHu5twqieM\nQ7uaVlypJ3AEksTDk22nqtW3UXUTTUEZiZyWq4BXhKpvnoDORvWLq4UFdLYQuRHGWFKFyHPw5G1g\nahWqKje689b9Bbz20V0ks69LAodvPrEHJw61lTUSksChwS8xnRwGY41YiykP1aLpBmIJ1aXHVard\nodT4zpHJRbxzcRT3p+POMZ4jOH2kHc8e34GgT6p4PQRWP7rPI676hBoGYzOyFbKZy40I7usJ4zcX\nRx1NndyqnFM9YfzOV3Y5LRIAaq4otCHEarkIh3yIlsp6MxiMumD7QvmT8+IpDTxHEE9rrv3T2GwS\nrUX0P8dmk87TaprU+bNhWkHg5ga+7NhxSikyqgk9zw7ZNAdlnDwcxonDbWj0V+7H5ENgJbdkiUc4\n5INUJxvT1uSFuZAuSJathy5RrWxEv7gWWEBni5AfYUykNYACIcBllKoVqio3llzVDfzqtw/wWc6E\nh642P77//EG0NJZ+mHmOIOgTXc4Qg8FYfTbalIdE2sp657sWpcZ05h8fn0vi3UsPcHs05hwjBDh+\nsA0vnNyJULByp4LjCHzZ8b+1iCQzGNuBzZTNLBd4mllIuYI0NraN2dvZgJYGGTeG553XfB4B33vu\nAA51uzdntVQU2gi8ZXc8sgCOEBZEZjDWANsX0vOm9JqUggcpOF4O3TBBKUVuNxWFpeMHFPdnEmkN\n14bm0D84g5kiQs12wvsvvnespu4FO4AjiTwkgXNV4dTTxqxUl2gjsNH84lphO+otQn6EUeA56LpZ\nEGWuJmpabiz5xFwSP/lgyPnCE2JNmnj+xM6SpYBsDDmDsb5slCkPhkkxv5iBqhd3mnLbHfKPA9Yv\n4Hf7RzGQs9kCrDbPr/Z1IxyqvK/cI/HwygITYmcwKmCzZDOvDM6UDDwd3NmEBr+EuVhxGzM2m8DP\nzt51bbROHmrD18/sLtq2WW1FoV0F6GXTqhiMdcH2hey9ko0dPMnvHOgKBwraoCil6Gz2YSyShGFS\nECwpyhDA2QvZfotpUtwZj6H/1gxu3ptHvpyOkNXMspNKLQ1yVcEcewqeR+IhifyayFjk6xK1NXk2\nXcXmRvGLVwoL6GwR8iOMAa9ojRXPC8ZUGjXVDUup3MizOCalOH99Eu9eGnVeCwVlfO+5A9jdESx5\nPzaGnMFYfzZCNiWj6phdSJUM5gBw2h3y6dkdwusf3cWV27MuZ+jAzka8dKobXeFARWuwN1R+L7NJ\nDEY1rFc2s9o2r/cuPih6/OzVcbQ2enHycKGNoZSC4wh+9IsBx74EfSK+/fQ+9OwKlXyvSisK7WlV\nrAqQwVhfbF/I3ivZBH0iUhkdQa/oOv8bZ3YDAD6+NoGZhTRCQRlPn+xGIpHBm+dHsKir4DjA3nJx\nBPBn9UN7dofw/uUxXB6cQTThHjdOiFWNoxsmGnwCPPLS+9rjystBYAkaeyQesrQ2QZx8bF2izcpG\n8IvrAQvobBEkgcPobNIlStUUlKEbJjhCIIkcQCl+/vEwzl+fLOsMKaqBaLJwklUsoeDfz97F8MTS\n6LzjB1vxzSf2lGyf4ggQ9ElVi5EyGIz6s57ZFN0wEU9pUDQDzZJY9lw7q332yhim5tOglEISebz+\n0bAryNwdDuCl093Yv6MyYVICwCtbY8dZIIfBqJ71yGbW0uY1FUm6/k4phWlSp+rGtjG27o1H4hFZ\nVPD5nYhzzaMHLP9mOf9luYpCe0qeV2bTqhiM1aaS4G+uL3SfEGi6AUngsas9kDPlyvKRHu/twL7O\nBqQUHd95Zr9zj+ZmP+bnk/jWk3tx9uo4piIp6JRC4jkrYeQRYVCKn314t6Ct3J6EZbdaZlQdhmGC\nI1hWg4vjSHYiFQdZZDZlpWyFKiOABXS2BAMjEUQTqlM2qOsmonEFTUEZ/+V3egAUjtsr5Qwl0hoW\nEoWOyY3hCH5xbhhpxSo59Eg8XnlyL44daC25Lq8sIOgVWSaKwdhArHU2RTdMJDM6MopetQxfWjXB\n8xySGQ0ZbamiG/7qPwAAIABJREFUJxzy4qVT3TiyO1SRM8ORpUDOSqdDMBjbmfXIZlbb5jUwEsFC\nXMFiUoHAc/B7rNYmSoGWBtk572BXE/btaMDZqxP48Mo4zGwWy+8V8e2n9uKhPc0Vra9UReFXHm5H\nKCA7U/IYDMbqUk3wt5wvZIkVW9OmVM3AYkoreh5g2RE7+DKzkEb/4Ayu3p4tCPL6vSJOHGzF7dEo\n+LyEkkcSwBHgv337kYL721U4sshDEjmWjFoFNnuVEcACOluC89cn4ZEFhADEc0bHhYIyeve24Edv\nDJS8LvcLvJhSocK9OVJUA29duIfLt2edY3s6g/jecwfQFJBRDIEnaPBJrDecwdjGUEqRzOhFRY+X\nQ9NN/Oq39zGzkHa1VvEcQWeLDz94pbeiQDHHEQQ8Arwy0+1iMOrBamQzl8uoV9rmNTASwdsX7mFk\nKg6OEJgmhWYaiGoGgn4JHklwtTFMzafwsw/vYCKSco4d3d+Cbz6xB35P+SrCXNzVPiramjx4+lgn\njh1oq/geDAZj5axU40vTDaQVAxlVL9C4KYWiGRgYjuDSrRk8mE64XiMADnY3oe9wG3p2hyDwHKIJ\npWxFH2C1YsnZIM5atlJthQmG2xUW0NkC2M6OJzspwUbNZrSXc4YopYglVWRUAx7fkkEZnYnjJx/c\nwXzW8HCE4MW+Ljx9bEfRzRRHLO0eXxWOEIPB2HpouolYUik6RaYchklxZXAG718Zx2JyqdecI9Zk\nPF+2J325YA5rcWAwVo96ZjMryahX0uZl32cqkoSum6AAKLVsAeEAwzDx8uluHOxqgmFSnPt8Au9f\nHnNaOH0eAa88uReP7Kvt5zqyK4STh9pwdyKGT25M4c1P7uHTL6bZhojBWENq0fjSDdOqxlF06BVG\ncSilGJmI4YOLD3D9bqRgEnBTQMLJw2GcPNxWkPwuVdHX1xOGJytqXK6VarWCLptpgiGjEBbQ2QIs\n5+yUe92kFNG44hIoNUyKj66N44PLY06EuqXRg+8/fwBdbYWiowSA1yMg4BXXRZCLwWBsDExKkUhr\nSGeqa68yKcWNuxG8d3kMkdiS40WyQWJ/jm3JzWLlI4s8fB42sYrB2CxUklF/8mgn/vWd20jkVCAH\nvKKrzev89UmkFd3yZejStBnDpAgFZPhkAQe7mjC9kMJrZ+9ibHZJY+fhPc145am9CHirS0bZU2Xs\nKXkDIxG8/vGI83q1G6KBkQgu/XoQY9OLLDvOYNRAJcFfSilU3YSiGVBVo+IgDgCkMhqu3ZlD/61Z\nTM2nXK/xHMFDe0Lo6wlj/47GkomnYhV9Tx7twKMH2pZNQK1m0KWULX77wj1WtbMJYAGdLcByPe2l\nXn+8twPzsYzLmM1F0/in//jCVTZ4qieMb5zZXbSFik2vYjAYlFKkFR2JtFZxmbJ93e3RKN65NIrJ\nnLYHUeBwZHcIMwvpAqeo2OQHW4BQFJgdYjA2E6Uy6g+mE/jRGwOYjaYhCRzUvAx4/rZnNppGIq25\ngjmA9edURseOFh8+/nwC7/WPOpWDXlnAt57Yg6P7W6qq5OM4Ap8sFEyrWkm7h71REwUOJmXZcQaj\nUnIrViSBR1rRC4TMv/JwO5IZDapmQtWMqhNOIxOLuHRrBl+MzBdM/w2HvDjVE8ajB1sratXkCHB0\nfytOH2mvOvm00paychSzxWlFx2REQWeLlfRndmnjwgI6W4DletrzX5cEAtMEfnb2LkSeA2BFqwkh\nmF5IQ8tW6/hkAV95uB2z0TT+37duupTXOY5gbCaOi1/OsKgtg7HFcDtIHAACVTcKnnMrkGMgmdEK\nnJzluDe1iDfOjbiyaRwBTj/UjueO70TQJ2FoLOpMocmf/LBaQsesh5zBqB/FnicgO11mOo5ILAPD\npCCwArmNARkEQDShYjGlQjdMGAYFIUBLg8fVVp67iZEErmRlYEY1MDqTxMDIgnPsyO4Qfu+pvQj6\npIp/FoEn8HtEeKTi7RDl2j2WsyuruVGrlUp/DzAY60V+xUpGs0SMUxlroqbfI+Kxh9rR0exHvIyw\nse1rTESSyGQMKLph2R3OavnObx+XBA6nHurAI3tD6A4Hlg0I25o4y7VTLUctLWWVUqy6KZHWiibs\n18suXRmcwdvn7jL/rAgsoLNFWK6n3X59YCSCn354F6ZJoag6ppMqKKXgOM7VdnVgZyNOHm7FuetT\nzrHIooLfXBx1ejz/48J95zUWtWUwtga5DlJa0TEetzS0QkHZec4ppdi/oxGJjA6zykDOxFwSP35v\nCF8MR1zHvbKAoE/Ekd0hZ5OVOz3ChiPWtAhvdtxnPWE95AxG/Sj2PP34ndtO0GV+MeNslCgs3b/5\nWAaEEFBKQan1fNs2JppQ0ZET0LE3MQMjEczHC0VGc4llNbk8Eo9vPr4Hjx5srXhTJQkc/F5x2Wx6\nqXYPSSDL2pXV3KjVQiW/BwBmFxnry/nrk5atQHYylWINYuB5Dm1NPgDAjeF57Gj1lxwDPjQWxW8u\njkJRdSzEFVeVMTUBMydM3B0OoO9wG47ub0VnRwPm55NF7mhhT6ey90z10POrpKWsVop1c+iGiVCR\nATjrYZcGRiJ485N7TtEBs0NuWEBnG0EptXRxstYqmdFhUgrDBGAuBXM6m334L1/vwU/eH3JdT4jV\nI3p5cBalsLNMLMPNYGxOcjPFifRSRiue1uCRBZgmxQeXxx1nqVLmomm82z+GG3mBHI/EI+iTnHap\n/lszRR0vniPwr/LEqo2YJWcwNivFnqd4jk0xs5U5znaJWH82TdOVFSbEEjjWdHfblb2J+fDKOESB\nR8AnIpEqPVUv6BXx377zCBr9lVXlVNvKWaq9vbBBzCLXrqzmRq0Wlvs9YJ/D7CJjrdENE5puQjNM\nTEaS1h4mSyKtAwCMnD0NUNqvsF/TDRPRhFqyZZznCPbtCOK/fv2hZdcnCRw8kgCPxFc0jbMalpPY\nWAnFuj08Io9MXrsrsD52ifln5WEBnW2CYZpYiCuYiy1NtlI1w2W8BJ6gtdEDnifgCMFCTsaL54hj\nmKzIbHGrd386gWmW4WYwNi25mWI9x1PSdAO6YYJSILJYeXYmllDw/pVxXBmccdkbWeQQ9EkF2lwL\neZl2gSPwe0u3OdSTjZYlZzA2M8Wep1ybYpsDkv2PyHMAAXTd7V9whMCghT7HE490YH4x47xP0CdB\n4AkW4qrrPEKARr8Ev0dwgjml2jkJllo5q9UGLNX+/vOPiwV53HZlNTdqtVDq90Dun5ldZKwVmm4g\npRhQ8saJNwVk1whwO5CT34ad71cAgKob+GJ4HoOjUWcqcCk4DkgrhYGNpdcJvFmB9NXUFF1OYqMe\n98+9V36Vpc162KXZaBp8kc+W2SELFtDZBiiagVjCKiO0y2Xzywp5jqCtyWv1sGcdnlBQxkJcAccR\n10bKjswWyyZpugGPVFiWzCKoDMbmIDdTzHMEera8lec52HuqcpOmbJIZDR9dncBvb065+s+72vz4\n7guH8P7F+y5HzMa+t8ATBLwiPNLa/ZraaFlyBmMzU+x5yt3s2OPFgaUaFoHnIIs8FHVp82Qnk7we\nq82yrcmDMw+3o7PZD1U3EQpamzrdMJHM6K73k0VLl0fgOTQ3WLbFbrGwyW0nP3kovKKserH29/PX\nJ5e1K/Y1/YNzGJ2O132jVi25/3YCzzm/B3L//ZhdZKwmhmkirZQfJ54/ApznOBiGCZ/H7Tfk+izj\nc0n035rB53fmkFFLB2lsSPa++X4PgVXF55UEyEX2PavFchIb9X4vYPUCSNXQ1uQt2lrL7JAFC+hs\ncZIZzSlBppSiwS9hYHjeVV/Dc0BjQAIhBBlVB08I/uEXN+CRBKi6WaAWb0dmi0VtS5Umswgqg7E5\nePJoJ/79w7swKYVXFhDXrWy3P8dBKjZpyiaj6jh/fRLnb0y6sl7hkBcvnerGkd0htLQEEFtMuxwx\nm9NHwmj0SwV2Zy3YaFlyBmMzU+x5CnpFx/9QNUt4FFgK2tjjyD+5Pol4zpjyoFfE//7SIfTubUFa\n0S3B5Owm7+ThNvz84xEsplTkFvL4PQIa/JKTkLLtVv+tGeccQqwKIEKAy4OzONXTviafg308l969\nLXju9B7MzsbrvoZqyV1zwCsimt1IBXNGuzO7yKgnlFJoummNFFcNaEb5qhkgfwS4gs4WH2JJtSAR\n9Mj+Fvz2i6ms8LF73LgtWCzyJCtF4X4PjgA+j+DYD5Hn4JUFdLT4EalqXtbmZC0DSOV48mgn3vzk\nXtHjDBbQ2bJQSrGYVJHORp9TGQ2vfzyMm/eWpjx4JB7hJg94jkAzKESeQDcIdHNJJJkA8IgcVJ0W\njczmR20ryUQxGIyNB6UUGdVAR7MPL/Z1WQ4SgEafCBACLZsJz500lYumm/js5jTOXh1HSlnKkoeC\nMl482YVjB1pdme98R6y5QcaTR3fg5KG2VW+tKsVGykYxGJudUs+TfYwQglRGg6ab4DmCrjY/vvH4\nHvTubcGejmDBdQ/vaUYsqSKdY1+iCQXnr085oseAFch5/GgnpuaSRSfkLcQVRxMw19asVuJpM9qV\n/DWHAhJACFTN3BTrZ2wONN3qIIjEMlZLdw33yB+eYLdTzi9mIIk8OELw0w/uFEyqam304FRPGMcP\ntWEyYlXtTEZSSCs6FM2AaVLwPEFXqx/PnujC0f2t8MmCk7iutz4Oozy9e1vQ2OjLTrnaHHZ0LWEB\nnQ1EvcblmiZFNKE4U6uGxqL42dm7zsg+gSf4+ld247GH2l3OzE8/GALHay6j55EFNAZk/OCV3oL3\nKRW1ZRluBmPzYJc1pzKak5kqNl2q9PUUV27P4oPLY65NVcAr4rkTO3GqJ1yyp/xgVxMOdzfB5xHh\n89R/alUtbJRsFIOxFSj1PC33jOVfp+mmtenLGilKKS4PzuLtT+9DyYp2igKHrz22Cy0NMm6MLBQE\nczhi+TQdLb6iwZvVTDxtRruyGdfM2NiYWf1ORTWsoAkFqCBUVI1TKe3NPuxo9WNiLoXxOXc1jshz\neGR/M/p6wtjdHsSd8Rj+45MRx1Z884k9Lt+H5wh8HgFeSWABnA3AicNhdDd713sZGxIW0Nkg1Gtc\nrqYbWEioGHywgIs3p3F/Ou6ovgNAZ4sP33/+IMKhpQeCEKuMNpZUs4JT7ih2NVmrzZiJYjC2I5pu\nIJnRoahGTVkxk1IMDM/jvf5RR2wdsCr/nj62A4/3dhQIHudijx/3reLUKgaDsfbUKzllk0hrSKaX\nplfFEgp+fm4Yt0djzjl7OoN49Zn9mF/M4DcXRyHwBCa19HHeuTgKnyzgRLb67+ljO1jiicFYIwzT\nhKKaUDQDqlabv7H8e1DcHrUqcwYfLBS0Te1s86PvcBjHDrQ47ViltLQA4JF9LfDKAuQyPgyDsZFg\nAZ0NQj3GsaUyOuIpFbfHonjrwn0sxBXXRILevc343vMHXNlyb3ZkMJcVRa6H4BTL6jAYGxO7rSqV\n0WvOiFFKMTQWwzsXH7h60UWew+OPdODpYzvK6t8Qkp1GQ80NUZHDYDDqR72SU4A1USmWUB1bRSnF\n1aE5vHXhniNmKvIcXjrdjTO9HeAIwTsXHzjXE1htERxHcOnWDE4eDrvWwRJPDEb9MSmFpplQdCuA\nk9/qVE/mFzPovzWDy7dnnS4EG6/M49EDbejraUNni7/g2lwtLRuOAAPDETx1dMeqrZnBWA1YQGeD\nsJJxuZRSxFMaUooOSil+/dkD1/04jiAUkEHI0oQCgSdo9EsQhaXoMxOcYjC2JopmTYrIaAaKTP+t\nmPtTcfzm4gPcm1oS7eQ5glM9YTx7YicafFLJawksYUG/R0SDX4KSKgweMxiMzU09klOAuypnaCyK\nTwemcG8q7ppKs6s9gO8+sx+tTUsVx/Z4YoHnQMiSscv3pVjiicGoD6YtZqwZUDWzru1TxdB0E1/c\nm8e5zycwmSdwDAD7djSgryeMh/c0lxzUArhHmXOcLY5OMBdjvglj88ECOhuEWsflmpQiGrf0cuIp\nFa99NOwycB6JR1NABscRSwgQQMBXvM2BCU4xGFsHWxsnregwSoz8rJSJuSTevTSKwdGoc4wAePRg\nK1442YXmhtJ2ihDAKwsIeETWg85gbHFWkpwCCqtybo8u4Bfn7iGWVFzB6FM9bXjlyX0um0Jg+VKR\nxQw4jrjsHhvMwGDUB9OkUHUDqm5C08yaxYwBK1h7/eNhTEeSZYcuAMgKF8/i2p1ZpBX3uHGOI/DJ\nAl4+3e1U4i1Hc4OM+bjiBHJsmK1gbEZYQGeDUMu4XFUzEEuqMEyKW/cX8NpHd5HMWHo5hMAZ/Wsb\nqtZGD1oaPSUFSoGNKThV7358BmOrYrdUpRXdEUVfCXOxNN7rH8P1uxHX8Yf2hPBiXzc6mn0lryXI\nBnK8LJDDYGwXak1OUUqRzOgurZx4SsXrHw1jMaeVQhQ4NAVkZFTDsSsEltix3yPguRM7mT4Og1FH\ndMN0xolrmuEIk68UW8MmV+/K1rCxgzoZVcfndyLoH5zB+Gyy4B4eiYdPFiBLPAghuD0aXTagQwB4\nPQKeP9GFn58bQUbREU9r0A0TAs/h5OG2uvx8y8H2Nox6wgI660zuA+0RuYKxkADwozcGCh74eEpF\nMqND1Q386rcP8NnNaeeessjBIwvweUTnGM8RPH+yq2wwZyNSz358BmOrYpoUKUXHtTuzuPTlTNFR\nvdUQSyj44Mo4Lg/OuMQFZZFDV1sAjz3UXjaYI4s8gj5x09kbBoOxMp482okfv3PbtUEKesWyARVF\nNRBPqa6N4vW7Ebz5yQhSmaWhDkGfCJEniKdURBMZ/Nt7t3GmtwN9h5cm6dl+Qf/gHEan46zSeJPB\nNrnrj2lSS8BYN53x3atBMQ0bALj05TQkgcelWzO4MRyBViQ5RQD4vAIa/TIAQFF1JDM6ZqMp/Nt7\nt4v6PnYVj0+2JlYd3d+KBzMJ/PqzB46tCnhFXB6cxZ6O4Kp+79jehlFvWEBnHcl/oDOaZbRefWYf\neve2FH3grfHjKvZ2NmJiLomffDDkKmUOeEUEfSJUzYAsEOgm0NHsxVPHdmxKI1GvfnwGYyuiaFY1\njqIauF1mYkOlQZ1kRsNH1ybw2y+mXEKGosChwSdBlnikVaPkfSWBszZdApsMwWBsV/K3f6W2g7ph\nIp7SnLHjQ2NR/PYLSysnt6XCrsoxTROLSRUAwPMcokkVv7k4ioBXdPkDvXtb8NzpPfjw4j2cvz6J\nn388jPPXJ1lwYIPDNrnrg26YlvZNto1qpS3albKQN4TFMCnSGR0zCykMjCy4XuOIZUc4YgVzDBNI\npnVwhEASOJddyPd9BI7A7xXhyVbx5DI2k0BbU2FXwmrvMdjehlFvWEBnHVnugc5/3aQUhkHx6cAU\nRmcsTQvb8PIcQVNQdkbsyZKA5kYv/uzbj6zuD7HKrLQfn8HYauiGaeniRJIuh6hUtqv/1syyAR1F\nNXD+xiTOX590NlcAEA554ZF4aLpZ4Ajl3lfgCYJeK+DDYDC2L+evT8IrCwWT7nI3KrphIpHWXALH\nQ2NR/OLcCGIJxVUVuH9nA1IZHYQQzC+qzvEGv+RMySu2CboyOMOCA5sMtsldfSil2RYqCk03oOjm\nqlXgLEcoKGMulkFaMRBPue2BTWeLD6d6wjh7dcwV5OU4mg3qaNByRov7PEt258rtWfQdDpedurle\newy2t2HUGxbQWUeWe6Dt1ymlMCmFaQKGYWJoLOaKXvtkHg1+2eknt9Xa5xc3v1J7rf34DMZWopg2\njuxzO2H52a7ljgPWtIiLX07jw6vjrtaGpoCEF/u68eiBVvzojYGCYI59X54jCHjFsg4Tg8HYPpTz\nawzTRCKtI63ortdSGQ2vfzSMWHIpYCPwHEJBCT5ZwNPHduDy4AzmoikIAoegT3LZnGKboPdyxpfn\nwoIDGxe2ya0/hmlX35hQ9dUdIV4NC/EMeI5gZiFdUBEkChyOH2zFqSPt2NlqjRv/1Wf3XedwhABc\ndl9kmuB5Dj6PAI8kgBDr9cWktqxvsl57DLa3YdQb5oWvI8s90G1NXkzNp2CYFJQCaUVHNLE06cEj\n8Xjlyb24eW8ekUUFhFiVOvbmaysYhlrEohmMrYJumMioBlIZDcsl0UJBGZEiQdxQUC44ZpgUV2/P\n4v3LY65NlN8r4rnjO3H6yJImRan7hkNetDZ6igZ7GAzG9qSYX0MpRVM2G0/z7NiX9+bxi3MjiKeX\nhI/t1nFCrOmcD+9pRoNfwthsEom0hkRac4SQrfcs9HWmIoUCqgALDmxk2CZ35ZiUOuPD1ToKGNcD\n3TBx894C+m/N4O54rKAV0+cRcPJQG17o64KU17btkwVX0gmwgjYBv4Bd7UFnD8QR4iS3K/nerNce\ng+1tGPWGBXTWmFzBN0ngkFF0xymxsR/ok4fb8Mb5ezApxWJCRSonq7WnI4j/9NwBhIIyfB4Bb31y\nD0lFr1iEcLNgZ9Ksz4yNUmdsfUxKkVEMZNTqJlX19YRdGjq5x3PvPTA8j/f6RzEXW9rYeCQeTx/b\ngcd7OyCJfMH1ufflOAKOAM8e38mCOQwGw0XuRiW3uvjRg62uYE5a0fHWhXu4OjTnHBN4q3U8dzMX\nDnkxEUniF+dGrCAzBXTdRCSWAc9zoKDwiDwGRiIuv6CjxY8HU4sF62PBgY0L2+TWTjylgs6nMFMk\nILbeTM+n0D84g6u351z7GMBKIj1+tBO9u0NFtWxsTj/UjrNXxose390exG8ujhZM06zke7Neewy2\nt2HUGxbQWUOKiSBTWJup3MlWPbtCiMQy6A4HceJQK965OOps7AgBvtrXjaeP7QDHWWJgDX4JJM+Q\nbZyY/Mrp3dvCjBxjy6NqBlJZgeNanl9bz6b/VuGUK0ophsZieOfSKCbmljLXIs/hTG8Hnj62w9V7\nXuy+14bmsBBXEA6xySMMBqM4vXtboBsmPr42gblYpui0vcEHC/j5x0vjyAkBHtnXgtlo2gkS2xXH\nzx7f6Wir2O0TsYQCg1JQw0RrowcZzSjQx3nx9C7885sDBetjwYGNC9vk1k5aNSAblSeAVhtFM3Dj\nbgSXbs1gdCbheo0Q4FBXE/p6wujZ3YS21iDm54tX1Nk8d7wLAHDx5jRSig6fLODMI5145Ym9kEUe\nDX6p5u/Neu0x2N6GUU9YQGcNKSb45pUFNPol/OCVXgDWlJlILAPDpDh7bRwfXB5zWi1aGjz4/vMH\n0BUOgMAa4enziPjph3eWFSFkMBgbD9OkyKg6Uopel972g11NBQLI96fieOfSA4xMxp1jHCE4dSSM\n547vRINfKntPj8TjzMMdeOrojhWvj8FgbE0GRiL4+NoEphdSaAoUBnEAIKPq+OWn99E/OOscawxI\naG3wYHwugYxiQDVMiBxBd3sQ3zizG717W/Dzj5cSYV5ZQCKtQaQACFwVzrk+z4nDYcSe2ceCA5sM\ntsndvFBKMTqTQP/gLK7fnYOquQNMoaCMvsNhnDjUisZAYSv4cjx3vAvPHe+CJFjjxXOridfze5Pb\nedHWxBJejPWBBXTWkHKCb7phjeNUdRML8Qx++sFd3J9e2oD19YTxjTO7IYs8RJ5DY0ByNC7WS0iO\nGTEGo3pMSqGoBjKqAVWrrRqnEj67OYUProwjnlrSpiAAjh1oxQt9XWhpKN96IPLWCPL8FiwGg8HI\n5erQDF7/eMRpqcofGwxYU6zyhY8b/SI4AiwkFMRzjgcDsmviTb62ip6tRLB9IJt8n4cFBxiM1SeZ\n0XBtaA6Xbs0UtHzxHMFDe5px6kgY+3Y0OJPpakEWeQS8AkRh4/gk+Z0XbJoeY71gAZ01pJTgW3NQ\nQmTREgu8NjSHN86POKODvbKA7zy9Dw/vbQaB1W8a8IoV3Xc1e8WZEWMwKodSClUzkVZrb6mqlEgs\ng59/PIzhSbd+hEfi8fLpbjz2UEfZ6wXemlzlkdivBwaDURx78l4yo+Hs1YkCsWPAav/cFQ7iV5/d\nx8UvZ5zjPEcQCspIpDUYhmlFmrMQQhBPa/DIglNxk6+tIvAcdN1EsMAXYvo4DMZaYFKKu+Mx9N+a\nwc17CwWTqtpDXvT1hHH8YCt8HrHEXSpjIwZybIp1XtjH2V6IsZYwj30NyXdKKKUwTIqjB1qRyuh4\n4/wIrt+NOK8f2NmI7z67Hw1+CQJH0BiQihq09RCSY0aMwVge3TCRUnRkFH3ZKVUrJZZU8eGVMfTf\nmoWZs7uSRA4NPgmSyGN4YrFkQIcjKBgHzGAwGLmYJkVKsdpEzaxRW4gXTsEDgMlICv/Pzz5HNJEz\nSc8jIOiXwBECI2ldp+sUorBUbWNX4NgVN/naKt1tfkQTasmBEgwGY3WIJRRcvj2L/lszrucasHyN\nY/tb0dcTRlebf8VDE7wSD79XLKjE20isV4cEg5EP89zXkFynZHo+jaaAhJOHrfHA//21645x5DmC\nl0/vwuOPdIAjBD6PgKBXLGkc10NIjhkxBqM4lFIomoFUpropVbWSymj46NoEPv1iyqXDIwpWy5Qs\n8o7tKLXx8kg8GnxSwZQIBoPBACzR9rRqIKPoBRWGoaCMyOKSbTEpxWJSdY0Zbm6QwRMCUeShqDqS\nGR26nr1TntmxN3C5FTf57VNLLd9MH4fBWE10w8StB1H035rB0Fi0oBpvV3sAp3rC6N3XArkOLdqy\nyCPo29iBHJv16JBgMIrBAjprTM+uEHa2BqBoBgzTxPv9Y/jo2oTjIIVDXnz/+QPobPGDEKDJL0OW\nShvIfB2bbz+9d02cGmbEGAw3hmkirRiuzPVqklF1fHBlDOc+n3RaNAHr2fRKPDTDLAgCh4JuIUKO\nI2j0SWVtDIPB2J4YpqXtNxtNF7RU5NLXE3Y0cxTNQDSuuM4/83AHXj7djdc+uouJuSQWs3o5PE9g\nZIPQpkmdgLLdSlWu4mat9HGYViBjuzITTePyrRlcGZpDMq25XvN5BJw42Ia+njDCodLjxqthM+r2\nrUeHxHL/OfH+AAAgAElEQVQwm7U9WdOAjqZp+Ou//muMj49DVVX86Z/+KV544YW1XEJN1PJw/PT9\n23j7/DASaQ0Br4hnj+9ER7MX569PYn5RgU8WMDWfcsZ22swspPHfX7sBnyxkSxaBaFKFppsQBQ67\n24OOoXj7wn3cGY/BNCkogAfTCQyORvEn3ziy6g/vRjRiDMZa2xi7GietGK6gymqiGybeunAPV27P\nuipymgISXjjZheMH23B3IuZssHLp6wk7f/bJAgI+cUUihQzGdmSz+jKVklF1x6Y1czxuPVhA/60Z\nLMSVomPID3Y14f7UIs5fn3JVJXIE8Mo8bo8tIJFW0dHiw9BYDICllUMAgLeqkkEIJIGDpptIpDU0\nBcpP3yvHwEgEl349iLHpxWV9tlL+3cBIBG9fuI+RqUUIvDVVx6xQK7AWn9G+ZiGhIhSQ2CZsm7Ne\nNkbVDQwMz+PSrRncn4q7XiMADnQ1oq8njCO7QxVX0AyNRcvaD54jaApIFev25T9fXeEAxmYSmI2m\nIQkcAAJVN4o+e/ZzPTZrjVLvavPjG4/vcZ755Z7b3HO62htw6nArXq3DNL16BWEq0Te9MjiDt8/d\nZQGfLcaaBnTefPNNNDU14e///u+xsLCAb3/72xveCapF/PetT+/h7Qv3QbN1ifGkijfODcPrERH0\nikgpOsZmk2XfN6XouDMeszJWFE7milLg3lQcBMB8XhbMMCkWEyp++sEQev9kdR/O9WjzYjCWY61s\njKZbQZyMuvraODaGSXFtaBa//uwBkjmtDBwBAj4J33piD3p2NwNYmixTzImSBA5Bn+TSrGAwGJWz\nGX2Z5ShVYfjFcAS/uTjqtElNL6QwNBbDU8c60dUWQP+tGdyfjiOe1FytWHaYWNVMqJoKUKvlU5Y4\naDqBbphOoMQrC1BUw1UpmNHMmgYt2D6bKHAwaXmfrZR/d28qjsuDs1ZrOQV03UQ0267qzRFrLvf+\n+fcs93PkXiMKHBsywVhTG0MpxfhcEv23ZvD5nUhBcqrRL+Hk4TacPBwuqPJdjqGxqCu5lDsB71B3\nE/weEe3NPszNVdaenv983ZuK49rQHEJBGRTAePY59XkETC+kce3OHPZ2BPGNx/cAAH78zm1X6/nI\nZBz/+s5tPHm0E5cHZ53jxZ7B/PeenEvgtalFvPrMPvzgld4qPpXyP9NKnv/l9E0HRiJ485N70LKB\nd2Zrtg5rGtD52te+hpdfftn5O89v/LK6WsR/z14dBwAnoAMApgkkUxp03XSN4yyHSe3/AFzWPUrk\nlD1qJfQ5JiPF9W3qDRsJythorKaN0Q3r2U0retn2g3phZ7XmFzPgOQ6xpOoa+UsIEPCK8HutKpur\nQ3NOQAewgjq5WTAmesxg1IfN6MuUQlGtIE6pCsML1yegqLrTJgUAhmHi7NUJBL0CFJ0WtGPwnOXz\n5GptpBQdAZ8EnuPQ1FRYfaPqRtHWz2oHLVTjs5U69+zVcQR9kiPObJNIa/DKQlmtwFp8RjZkgpHP\nWtiYtKLj2tAc+gdnMBlJuV7jOYIju0Po6wnjwM7GmvX1+m/NFD1+bWgOT/R2guNIVeLJ+c+KvSeK\n59ggW8PLriAanU3itY+G4RF513m597Cf+WLvl5vALrWmlTyn9bzvcvqmzNZsXdbUs/f7/QCARCKB\nP//zP8df/MVflD0/FPIBANragqu+tlIsJNSimexoUi25rmRGB6UUhBAnY0Wzf8oN5nAcWVZrw37V\nNnh2v3m+iKCDVdCzos9sPT/vlbJZ187WXR+qtTE2pX4Ow6RIKzpSGQ0mCCQvD8lbeytApXwxHMF7\n/aPIqAaiCdUVvCUAAj4RDX7JalXIEk9raG72F9yLAPB7RQQ3mOjxRvvuVApb99qyEdddi53ZSD+H\nYVKkMhqSaQ1EIvBLAgoth8VcNI20YlgR5Bw03cRCQnUFbQixgjgcx8Ewzewx6zqTWtUnXlko6lN5\nShwv52sVI9dny71fsfuU8u+SGR3NDR5IAu+yvYZhTePa0RoouaZafMb8a+w/V/uzrzebaa25bMR1\nV2tjGhss/cpiPkAuJqUYerCA859P4OrgbEHQsqPFhyeP7cRjvR1FAxzVspjSIPBLtoPjCHiOIKno\naG9vcI5X+m+Q/6wYhrXXMkwKUMvemIa148rdN4kCh4lI0jk/F8OgzjOfT+4zWOzZFgVuxc9pLTaj\nFF3tDZicSxQct23WQnb4Tv77bSZbs1nWmc9qr3vNU7WTk5P4sz/7M/zBH/wBvvnNb5Y9d2Ehhba2\nIGZn42XPW01CAamo+G97yFt0XSalEDiClGosBWPyzhF5DoQDqEkBgrItG/a1drWPkPMQcoS4xhNb\nJwJ+r1DzZ7ben/dK2KxrZ+uur6GrxsbY5P4clFJkVAMZ1YCqGQUTXdaCX54fxvRCGqrmdraagzLC\nIS8WUxp4jrg0dFr8Eubn3a2cksChwS9BTVNE0u4Ro+sJ+86vLWzd9XemqrUzG+Hz13QTKUUvOqmq\nFK1NXkzMJZzsEqXU8Vly3Q+es3wS3aAApS7fhRBrE6fpJna2+vHk0c6Cdu3z1yer8rVKYftsYlaP\np9x9Svl3fo8ATTfh9wiu9gwhe8++w60l11Stz5h/Te66q/3Z1xNmY9bXxsQWM2hq8hX4ADaLSRVX\nbs+if3AG84vuaZeiwOGRfS041RPGrvYACCHQMhrmM4XVLNXS4BMRWVRAiFX1QymgGxQtDZLzuVfz\nb5D/fPE8ga6bTjWOrpugsOxP7r5J002YJnXOz0UQOHgkvmjXQ+4zmP/e9rO60ue0FptRilOHW/Ha\n1GLBcdtmhQIS5uNKwc+6WWzNdrcz5WzMmooozM3N4Y//+I/xl3/5l/jud7+7lm9dM6VEfosdTys6\nLgxMgnDE5Szl/tnvFdHa5LEE9igtK0jKESuanXtOwCsi4LW0eBr8out8Asu4ffVUdyU/GoOx5ViJ\njVE1A7GkiploGrGkCmUdgjlT8yn8y28GcXdi0RXM8co8wiEvfB4BZ3o7il6bK3jMZUUGmxs8m2L0\nJ4OxmdhsvoyiGphfzCCymEG6imAOADx+dAd4zrIhlFLopjsJ5ZUFhIKS46fYSSeOWP6InQ3PnVzV\nu7cFP3ilF//Xf+7DD17pRe/elqp8rXJUc59S5z57fCcAq2ooFJStn4kA3W1+vPrMvrKtCbX8HPX6\n2Rlbh3rYGMM0cfPePP7nrwfxd//rCt65NOoK5nS1+fF7T+3F//mHJ/DdZ/djd0ewqvanSnjsoXbw\nPIHAc6571/rdzr8ukLUrwezeCLD2QrnVyPbxrja/Y4fy72E/8+Xeb7We03ret3dvC159Zh/aQ15w\nhKA95HXZLGZrti5rWqHzox/9CIuLi/jhD3+IH/7whwCAf/qnf4LHs3FHXVci/qsb1mhPVTdx6csZ\nBL0idN1ARnVPe/jqqW5MzCWxEFfQ6Lf6s3WDAprhyrTbLRI72/wApYglNai6AVHgsbs94Dx4569P\nYmgshmRaA6UUQb+EZ4/vxO+e2bMmnw2DsdGoxcbEUyrmomnoa6VuXITIYgbv94/h8ztzrs2WLPFo\nyBEwDgVlRxfnxvA8piJJl+AxgSUGGPCKdXfMGAyGxWbwZUxKkVEsIeOVaH49vK8FTzzSgbNXJ5DX\nnQGvxDsiqRwhSGZ0+L0imoMyOAJEkxo03YAk8NiV9V1KBUOW87UqnQJjH+sfnMPodLzswIZy77mn\nI+gc390RrHjoQy0DI3KviSZVtIfY5JntzkpsTCSWQf/gDK4MzhZoxnhlAccPtqKvJ4yOZt+qrB2w\nAipBr4jHezvR4JfqNkAl//na0xFE19HO7JSrDEIBCcmMjplo2iW6DsARRn770/sYmymccpX7zBdb\nZ/5772gNoO9w64qf03oPmSmnb9q7twWNjb7slCs20GYrQSjN79nZOMzOxjd0eRWlVt9lMm1Ndxga\ni+Lf3r0NRTddpcgeiUdzUMb/8epRAFYbxE8+GMJMEWG99pB3RWrpK2Ujf97LsVnXzta9vj2x47OJ\nkmXKq81iSsWHV8Zx6csZV/tkR7MXukEhiW4hxJdPdzsBneZmv2vddnvVZqjIYd/5tYWte/377tfq\n89d0A6nsBL56eHcpzcT/eHPAJZrKcQQNfkuMvdEvQdNNhIIyTh8J4/SRjrpP0MufAmNTrlqGfefX\nFrbu9bUx176cxPB0Emf7RzEyWdhys39nA/oOh/HQnuZVnXDJEcDnEeH3CBUllQZGIrg0OIex6cW6\njtBeCgCvXtCCfefXns269rVouWLjTmpE0QzEk6qT1R8ai+KN8yPI5Gle+D0CGvwSWho9zt+DPglz\nseJTEu5PJ/CjNwaWzUIxGIzNSyqj4+PPx/HpwDS0nLT3jlY/XjrVjYNdjbgzHis6djwfOxPGplcx\nGNsTW/crldFd9mQlGKaJj65N4IMr487wBo4AjQHZZWsCXhH/24uHIAkcmgLyqgivs8ksDEZ5/u//\neblggm6DX8KJQ23oO9xWVPC3ntiBHJ9HKCslkcvASAT/+s5tpDI6VN3A9EIa96bi+MOXDtWl6oXZ\nBsZ2gu0AqsQ0KeIpFekcw6nqBt44P+LqTSWwRAIN0xIE7OsJo9G/NDK4rclbIIKVVnQk0ppzfHoh\n7WSlmGFiMDY/imbgwo0pnLs+4XK+Whs9+OqpbvTubXayWvljx4tht1dV6kAxGIytg0mtKXzJjL7s\nxMxqmJpP4bWzdzE+t1QB6JV5NPhl12Q9AFiIK/BIPBr9UlVtnpW2UAHLj+JlMLY7tj/BEaAnO278\nUFfTqk+2JAC8Nfohb1+4h2hcAQVgGCY03URG0fHTD+6g90/YnofBqAYW0KmCVEZHIq26BAEn5pL4\nyQd3XMEcr2S1SeimCQLga49147Ej7RAF6/jASASxhIrJSNLV45lIa0UFu1gWisHY3OiGiYtfTuPD\nqxNI5vS0N/olvHCyC8cPtRVslMohcARtTV7E1mUGF4PBWE8M00QqoyOl1Ketaum+FOc+n8D7l8cc\n3R2PzCPc6MVsNI1YQoHPI8AjLbmObU1eNAXkqt4nv4VqueRVsQSYdXzjaBYxGOtJdziAvoc60NPV\nUJdx45UgizyCPrHmNu+x2SRMSp2R44D1fxNzSQyMRNi+h8GoAhbQqQBNN7CY1FylzCal+OT6JN65\nNOo4PjxH0BSUIYs8BN4a39nW5MGZhzucKRG5jkwoICOe1hBNKAgFJAR9ostRsmFZKAZjc2KaFFeH\nZvH+5TFEE0tjw/0eAc8e34nTR9qr6me3BdP9HqFAX6dSqsmMMxiMjYOmm0hlNGTU+k/gm1lI42dn\n72BsdqkqZ3d7ALppQjcpfB4Bi0kV8aRlxzySAJ4jeO5E8ekw5ai2herJo51FNXTYZBYGw+LPvvNI\n2bHl9YTnSMn9SjU4g2FysNNa9UpkM3+HsV1gAZ0ymCbFYkot6EuNJVX8+4d3MDyxJDy2b0cDUhnd\nVd5ICPD8iZ1OMAdwOzIeWYAn24LVGJDRGJBZForB2AJQSvHFyDze7R9ztQvIIo+njnXiid5OyFJ1\nAZl6iB5XmxlnMBjri62Pk1Z0qHp99HFyMU2KT25M4t3+UWdz5ZV5fPOJvbg5EsFiSoNuUMiSgAYA\nyYyOdEbHvs4GPP3ojprsRrUtVPWeAsNgMKonN6G00imaAyMRLIVvlqAAJIGvSyKb+TuM7QQL6JQg\nreiIp9ztVQAwMBzBTz+844oq9+5rxh+8eAhDY1FHxHRnWwCdLT58cmMKvzg3AkngABCMTC1C4DkE\nvaITzAEsR+bbT+9dsywUi1ozGPWHUoo74/9/e3caJWV173v89zz11FzVAw3NIDSzsy5CEIwXmeJA\njgpJJNEXB+9axinRqJmukOiKia3RdfLiZiWuZchKXlyTdaIRTMzgUXMwchAZRNGgSJihAZl67q6u\n8bkvmiq6obupbmp6iu/nTejq7urdSP2y67/3/u8Wvb7pgA72WOm2XIY+d9kozZ02RgHfmccqB2JI\nCgfcg/6+9Gt835E2xRMpuS2z+39dZq/skTjWCZSaRDKlzmhCXdHEGfOQXDneHNFLb+3S/iPtmccu\nrqvWF+dMVEXAo3X/PNxrkcrr6T5uFU+mZJqGXl6zW2s/PDzo+cNQjlCVepNT5lQoV4a6rzsP+q1e\nC9TnYu2Hh1UV8uhoc6TXsVHDkCpDnpwsZKcX0NP9SRPJlCyXqb+u28trE2WHgs5pkqmUWjviisZP\n7crZ0dCsDR8f0d5P29TZlcg8nm58vH1fk958v0HzPzNWU8dWqSLg0YnOuH7zylZJ3WFysK27x45h\nGEokUt0310iZN1YjqnwFW4UaqGo9v8hXuwJOtf9Im17fdKDXzj3TkGZcXKv508eqMjj4c+1ul6nK\n0OB35aRf45FoQs1tp/p7pWxbpmH0yh6JY51AKcj3bpz0olNja5dSdvcxq0yvHI9LN18zQSG/pb+u\n26umtqjaOmPyeqzu4lJXQslUSoYMGYZ0pKk7P4ay6l1uR6jYCYBy5fdaCuWwkJN2rDkin9dSZdCj\n1o64bNky1H1rp99r5SQLjjVHzpgDJRIp7fm0jR49KDsUdHro7IqrLRLvVS3e0dCsP7/dPblJ9lgm\nSxdz0tsON358RJ+fPlaVoe4eOi/8Y1fma9t7NEFVj5PvbZF45k1VOrwKsQo10Pn1+TMn5PVnA+Xm\n08ZOvbHpgLbta8o8Zki6YnKNrp8xTjWVQ1tpCvgshf3uIW1tTr/Ge2ePurPN6J09Esc6gWJKF0wi\nsdw2Oe5pR0OzXtt4QIlkSs1t0V4FowvHVelLcybpaFOnXtt4IPO4y2WqsaVLtuzMDTaJVPfunEg0\n0ev68sHs8iu3I1Rcq45y43aZqgi6M5e55Fp6l15lyKuAz63m9qgSyZRCfrdunTspJ6+bEVV+HdnT\neMbjlsvktYmyQ0FHfTc9lrpvfPjrO/t0vKXv1eueb7Qi0YSGVfgyK+mfnjh13CLR43ltSVVhr9oj\ncSWTKY2sLuzW3K17TuijPY2Kn9x6mL5hS2KVHhiMxtYu/f3dBn2w83ivBqUX1VXphqvGaXRNcEjP\naxjdt1+dS8PBdI+KxGmZlo6s0x936so44FT53o1zuk3bjqgjEldrRyyTV4YhjakJ6n8vvEiGYehv\n7+zt9T0+j6V2V1yJhC3DZchymbLjSZmGofZIvFdBZ7Dzh1I/QjUYXKuOcmGahsI93hfkS89degGf\nlbkcIlfFnPTP2LLz+BmPh/1uXpsoO+d1QSdl22rvjKszmjjjc42tXfrDm7t0tMc574DXUiSakC2d\nccNE0N/76r5RNUHt/7T76IXlMpU4OWGzXKb8Xkt+r6WR1X7dt/jynP9e/UlvC7Ylye7eepjeiuj3\nWqzSA1lo7YzpzfcOatO2o0r1WE6fMDqsG6+q0/hRQz+2ONQjVqdLr371zB5J8rhdCvndSiRTMg3D\n8SvjgNMkkilFoglF8tgb53RNbV3a0dCiaPxUFnjdpipDXhnGqcWpph5HEzJsybLMTIH6WHNEiUTq\njKLw+Tx/4Fp1OJ1hSEFfbhoen02631RXLKF4IiW/160LhgdyPhe5fGKNJo6q0IFj7Zn+Oen+pbw2\nUW7O24JOf02PJen9Hcf0ytq9mT46hiFVhbzyey25XIbaOuO9erMbhqH508f2eo7rZtZleuiE/O5M\n4STsP9XYtNCr4ultwWG/u9fELb3Sxio90L9INKG3thzSO1s/7bWbb0xNQDfMrNPUsZXnNBEK+iyF\nhnjE6nTp1a+e2SMpM5nJ5SoYgLOLxpPq7Er06s+Xb7Zta+O2o3p1wz7FThZzDEOqCHoU8Ha/casO\nezNfXx326kTrqbxwmYY8blevwnV6/nB60fl8nj+UW08gnF/8HpdCAXfO++T0pWe/KZ/Hks8juS0z\nbwtLN10zntcmzgvnXUEnnkiprTPW5xbnSDShP63dow93ncg8NqYmoGTKluvk5CUc8CiRTCkWSyqe\ntOWxTF11Sa1u/tyEXs81/aJatcydlDkjXh3ySIahWDxVtFXx9LZgn9dStbr7aCSSKRnK7TZHoJxE\n40m9s/VTrfngkLpip96MDa/06boZ43T5pGGZ/hJDYZmGKkOenJ5V79mjYp9hKJ5IymO5VDcyxI4c\noMCONHb2vfslj5rbo1r11m7tPNiSeczjNlUV8vYqxsy4uLbXn9M9dOKJpJq7EorGkrJt6eCxdnnc\nLoX9blWHvaoKeRRL2OzyU/n1BML5wWOZCgc8meNOhVDoflO8NnG+OG8KOqmUrbZIXJE+jldJ0p7D\nrfrDmzvV3B6T1L0ydePMOl1zxSjtOtiSuY7cbZknjyf5MyvpDcc6+uyYXmpnxHtuC/Z5rUxT1JHV\n/pIaJ1AKEsmUNm07qtXvH1RHj+bClUGPPv/ZsfrMhSPkMs9tN43P41Jl0JOXLc6llj/A+er040n5\nZNu2Nm8/pr++sy+zG8htmVo4q041FV5t3n6s+5bNsFczLq7V1LFVme+dOrZKLtPQmi0HtfdIRIYM\nmaYh27aVStmKxZNqk7RwVt0Zi1jnO/IWTmGZhsIBj7ye/DQ8Hkgx+k3x2sT5oOwLOrZtqzOaUPtp\nt1elJVMp/fe7DXpry6FMX5zaar9uWzAlc2Z86tiqzKTnhdU7lEzZZ7wBc0LHdLYFA2eXStnasvO4\n/ntzQ69V9YDP0rxpF2jWpSNzsqIVDrgV9LnP/oUAkIWWjpheXrNb/zrQnHlswqiwbp03WTUV3T0j\nLhxX3e/3e90uXX3ZKH2464RGJ+zuN1/J7p6BpsuQZZkaUeVXw9H2fP8qyEK6F8mx5ohGVBX2gg04\nj2kocxFKvvvk9Id+U0B+lHVBJxpPqq0jpkQ/nQePt0T04uqdajh26kaqqy8bqS/MGt/nGza/x6WW\n9mifQeiEjulsPQT6Z9u2Pt7bpDfePdCrGbrX7dLsK0dr9hWjc7Ki5TINVeX4iBWA85dt23p/x3H9\nZd3ezLFQy9W9y/hzl4/K6khowGepIuCR1PuWPKNHx8D0TiMnzHfKXc9eJJJ0pCmS+Zg5HXoy1P36\nDvrd53Q8PBdYWAbyoywLOslUSq0d8X6bD9q2rXe3H9Nf1u1V/GQvnaDfrSVzJ+miur5Xr9Kr6bXV\nAUdXl9l6CJxp58EWvb5xf6/iruUydPVlozR32pic7aTxey2FA8WfVAEoD62dMf1xzR59sr8p81jd\nyJCWzJ2s4VX+rJ6jIuBWoEfG9bwlL5k8tSCW7r3T33yHHSOFU+heJHAmn6f7ZstzvTkzV/paWL7p\n2skaNyy7rALQt7Ir6HR0xfs9XiVJnV1xrVqzWx/vPTX5uWhclW6dN1kh/5lv2gxJlSGPfJ7uvyqq\ny0B5+b//+Z4+2XcqD0xD+uxFtVow/QJVhrwDfGf2LNNQRdAjj5tdOQDOnW3b+mDXCf357T2KRE/t\nyrl+xjj9rytGy8yiv9fp85u09Dwn7Hdn+gpKysyR+prvsGOksIrRiwTO4XaZCgfcJTnnOH1hecSI\nsI4dayviiADnK5uCTjyRUmtHrNd1wqfb2dCiP/xjp9o6uxucWi5D/3b1eM26dGSfx6hMo/saz55H\nIzi2BJSXnsWcKyfX6LoZYzW8MnerRQGfpXCOriMHgPZIXH/6nz36aG9j5rGxI4JaMm+Kaquzy66+\n5jdpPec51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      "text/plain": [
       "<matplotlib.figure.Figure at 0x82726d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x=\"total_bill\", y=\"tip\", col=\"day\", data=tips,\n",
    "           aspect=.8);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
